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r-spatial
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Krzysztof Dyba
Parallel raster processing in stars
2023-09-21T00:00:00+00:00
https://www.r-spatial.org//r/2023/09/21/stars-parallel.html
<ul id="markdown-toc">
<li><a href="#data-acquisition" id="markdown-toc-data-acquisition">Data acquisition</a></li>
<li><a href="#data-loading" id="markdown-toc-data-loading">Data loading</a></li>
<li><a href="#sampling" id="markdown-toc-sampling">Sampling</a></li>
<li><a href="#modelling" id="markdown-toc-modelling">Modelling</a></li>
<li><a href="#prediction" id="markdown-toc-prediction">Prediction</a> <ul>
<li><a href="#single-process" id="markdown-toc-single-process">Single process</a></li>
<li><a href="#multiple-processes" id="markdown-toc-multiple-processes">Multiple processes</a></li>
</ul>
</li>
<li><a href="#post-processing" id="markdown-toc-post-processing">Post-processing</a></li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2023-09-21-stars-parallel.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>:</p>
<p>Prediction on large datasets can be time-consuming, but with enough
computing power, this task can be parallelized easily. Some algorithms
provide native multithreading like <code class="language-plaintext highlighter-rouge">predict()</code> function in the
<code class="language-plaintext highlighter-rouge">{ranger}</code> package (but this is not standard). In this situation, we
have to parallelize the calculations ourselves. There are several
approaches to do this, but for this example we will divide a large out
of memory raster into smaller blocks and make predictions using
multiprocessing.</p>
<h2 id="data-acquisition">Data acquisition</h2>
<p>We will use the Landsat 8 satellite scene with four spectral bands as an
example for analysis. It covers a range of 37,000 km<sup>2</sup> and
consists of over 62 million pixels. The data is available on
<a href="https://zenodo.org/record/8260938">Zenodo</a>.</p>
<p>We can use the <code class="language-plaintext highlighter-rouge">download.file()</code> function to download the data and then
unpack the <em>.zip</em> archive using the <code class="language-plaintext highlighter-rouge">unzip()</code> function.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>options(timeout = 600) # increase connection timeout
url = "https://zenodo.org/record/8260938/files/Landsat.zip"
download.file(url, "Landsat.zip")
unzip("Landsat.zip")
</code></pre></div></div>
<h2 id="data-loading">Data loading</h2>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library("stars")
set.seed(1) # define a random seed
</code></pre></div></div>
<p>The first step is to list the rasters representing the blue (B2), green
(B3), red (B4), and near infrared (B5) bands to be loaded using the
<code class="language-plaintext highlighter-rouge">list.files()</code> function. We need to define two additional arguments,
i.e. <code class="language-plaintext highlighter-rouge">pattern = "\\.TIF$"</code> and <code class="language-plaintext highlighter-rouge">full.names = TRUE</code>.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>files = list.files("Landsat", pattern = "\\.TIF$", full.names = TRUE)
files
## [1] "Landsat/LC08_L2SP_191023_20230605_20230613_02_T1_SR_B2.TIF"
## [2] "Landsat/LC08_L2SP_191023_20230605_20230613_02_T1_SR_B3.TIF"
## [3] "Landsat/LC08_L2SP_191023_20230605_20230613_02_T1_SR_B4.TIF"
## [4] "Landsat/LC08_L2SP_191023_20230605_20230613_02_T1_SR_B5.TIF"
</code></pre></div></div>
<p>Since this data does not fit in memory, we have to load it as a proxy
(actually, we will only load the metadata describing these rasters). To
do this, we use the <code class="language-plaintext highlighter-rouge">read_stars()</code> function with the arguments
<code class="language-plaintext highlighter-rouge">proxy = TRUE</code> and <code class="language-plaintext highlighter-rouge">along = 3</code>. This second argument will cause the
bands (layers) to be combined into a three-dimensional array:
[longitude, latitude, spectral band].</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>rasters = read_stars(files, proxy = TRUE, along = 3)
</code></pre></div></div>
<p>We can replace the default filenames with band names, and rename the
third dimension as follows:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>bands = c("Blue", "Green", "Red", "NIR")
# rename bands and dimension
rasters = st_set_dimensions(rasters, 3, values = bands, names = "band")
names(rasters) = "Landsat" # rename the object
</code></pre></div></div>
<p>Using the default <code class="language-plaintext highlighter-rouge">plot()</code> function, we can display our four bands
separately. By specifying the <code class="language-plaintext highlighter-rouge">rgb</code> argument, we can create a three-band
composition, such as RGB or CIR (including near infrared). It is also
useful to use the <code class="language-plaintext highlighter-rouge">downsample</code> argument to display the image at a lower
resolution.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>plot(rasters, rgb = c(3, 2, 1), downsample = 10, main = "RGB composition")
</code></pre></div></div>
<p><img src="/images/stars-parallel-1-1.png" alt="" /></p>
<h2 id="sampling">Sampling</h2>
<p>For modeling, we need to use a smaller sample rather than the entire
dataset. Sampling training points consists of several steps, which are
shown below:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>bbox = st_as_sfc(st_bbox(rasters)) # define a bounding box
smp = st_sample(bbox, size = 20000) # sample points from the extent of the polygon
smp = st_extract(rasters, smp) # extract the pixel values for those points
smp = st_drop_geometry(st_as_sf(smp)) # convert to a data frame (remove geometry)
smp = na.omit(smp) # remove missing values (NA)
head(smp)
## Blue Green Red NIR
## 1 9908 11349 11862 19186
## 2 8187 9252 8641 21080
## 3 9377 10576 10837 15875
## 6 9264 10154 10422 13587
## 8 7571 8276 8065 11121
## 9 8090 8799 8162 20219
</code></pre></div></div>
<h2 id="modelling">Modelling</h2>
<p>The aim of our analysis is to perform unsupervised classification
(clustering) of raster pixels based on spectral bands. In other words,
we want to group similar cells together to make homogeneous clusters. A
popular method is the Gaussian mixture models available in the
<strong>mclust</strong> package. Clustering can be done using the <code class="language-plaintext highlighter-rouge">Mclust()</code> function
and requires the target number of clusters to be defined in advance
(e.g. <code class="language-plaintext highlighter-rouge">G = 6</code>).</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library("mclust")
mdl = Mclust(smp, G = 6) # train the model
</code></pre></div></div>
<h2 id="prediction">Prediction</h2>
<p>As stated earlier, the entire raster is too large to be loaded into
memory. We need to split it into smaller blocks. For this, we can use
the <code class="language-plaintext highlighter-rouge">st_tile()</code> function, which requires the total number of rows and
columns, and the number of rows and columns of a small block (for
example, it could be 2048 x 2048, but usually we should find the optimal
size).</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>tiles = st_tile(nrow(rasters), ncol(rasters), 2048, 2048)
head(tiles)
## nXOff nYOff nXSize nYSize
## [1,] 1 1 2048 2048
## [2,] 1 2049 2048 2048
## [3,] 1 4097 2048 2048
## [4,] 1 6145 2048 1807
## [5,] 2049 1 2048 2048
## [6,] 2049 2049 2048 2048
</code></pre></div></div>
<p>Finally, the input raster will be divided into 16 smaller blocks. In the
following sections, we will compare the processing performance of one
versus multiple processes.</p>
<p>Now let’s discuss what steps we need to take to make a prediction:</p>
<ol>
<li>We have 16 blocks, so we need to make predictions in a loop.</li>
<li>We have to load the rasters, but this time into memory
(<code class="language-plaintext highlighter-rouge">proxy = FALSE</code>) and only the block
(<code class="language-plaintext highlighter-rouge">RasterIO = tiles[iterator, ]</code>).</li>
<li>We use the <code class="language-plaintext highlighter-rouge">predict()</code> function for clustering. Note we need to
define the <code class="language-plaintext highlighter-rouge">drop_dimensions = TRUE</code> argument to remove the
coordinates from the data frame.</li>
<li>Finally, we have to save the clustering results to disk (it can be a
temporary directory). Be sure to specify the missing values
(<code class="language-plaintext highlighter-rouge">NA_value = 0</code>) and the block size as the input
(<code class="language-plaintext highlighter-rouge">chunk_size = dim(tile)</code>).</li>
</ol>
<p><strong>Note!</strong> The <code class="language-plaintext highlighter-rouge">read_stars()</code> function opens the connection to the file
and closes it each time, which causes overhead. With a large number of
blocks, this can significantly affect performance. In this case, it is
better to use a low-level API,
e.g. <strong><a href="https://github.com/USDAForestService/gdalraster">gdalraster</a></strong>.
The second difference between these packages is that <strong>gdalraster</strong>
allows loading data stored as integers, while <strong>stars</strong> loads it as real
(floating point) by default, so we can practically save half of the
memory.</p>
<h3 id="single-process">Single process</h3>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>start_time = Sys.time()
for (i in seq_len(nrow(tiles))) {
tile = read_stars(files, proxy = FALSE, RasterIO = tiles[i, ])
names(tile) = bands # rename bands
pr = predict(tile, mdl, drop_dimensions = TRUE)
pr = pr[1] # select only clusters from output
save_path = file.path(tempdir(), paste0("tile_", i, ".tif"))
write_stars(pr, save_path, NA_value = 0, options = "COMPRESS=NONE",
type = "Byte", chunk_size = dim(tile))
}
end_time_1 = difftime(Sys.time(), start_time, units = "secs")
end_time_1 = round(end_time_1)
</code></pre></div></div>
<p>The prediction took 484 seconds.</p>
<h3 id="multiple-processes">Multiple processes</h3>
<p>Multi-process prediction is a bit more complicated. This requires the
use of two additional packages, i.e. <strong>foreach</strong> and <strong>doParallel</strong>. Now
we need to setup a parallel backend by defining the number of available
cores (or by detecting them automatically using <code class="language-plaintext highlighter-rouge">detectCores()</code>) in
<code class="language-plaintext highlighter-rouge">makeCluster()</code>, and then registering the cluster using the
<code class="language-plaintext highlighter-rouge">registerDoParallel()</code> function. This can be accomplished, for instance,
with:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library("foreach")
library("doParallel")
cores = 3 # specify number of cores
cl = makeCluster(cores)
registerDoParallel(cl)
</code></pre></div></div>
<p>Once we have the computing cluster prepared, we can write a loop that
will be executed in parallel. Instead of the standard <code class="language-plaintext highlighter-rouge">for()</code> loop, we
will use <code class="language-plaintext highlighter-rouge">foreach()</code> with the <code class="language-plaintext highlighter-rouge">%dopar%</code> operator. In <code class="language-plaintext highlighter-rouge">foreach()</code> we need
to define an iterator and packages that will be exported to each worker.
Then we use the <code class="language-plaintext highlighter-rouge">%dopar%</code> operator and write the core of the function
(is identical to the example using a single process).</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>packages = c("stars", "mclust")
start_time = Sys.time()
tifs = foreach(i = seq_len(nrow(tiles)), .packages = packages) %dopar% {
tile = read_stars(files, proxy = FALSE, RasterIO = tiles[i, ], NA_value = 0)
names(tile) = bands
pr = predict(tile, mdl, drop_dimensions = TRUE)
pr = pr[1]
save_path = file.path(tempdir(), paste0("tile_", i, ".tif"))
write_stars(pr, save_path, NA_value = 0, options = "COMPRESS=NONE",
type = "Byte", chunk_size = dim(tile))
return(save_path)
}
end_time_2 = difftime(Sys.time(), start_time, units = "secs")
end_time_2 = round(end_time_2)
</code></pre></div></div>
<p>The prediction took 200 seconds. By using three processes instead of
one, we have cut the operation time by half!</p>
<h2 id="post-processing">Post-processing</h2>
<p>We have our raster blocks saved in a temporary directory. The final step
is to make a mosaic (that is, to combine the blocks into a single
raster). I recommend using GDAL tools, as they provide the best
performance when there are a large number of blocks. We can use:</p>
<ol>
<li><code class="language-plaintext highlighter-rouge">buildvrt</code> to create a virtual mosaic.</li>
<li><code class="language-plaintext highlighter-rouge">translate</code> to save as a geotiff.</li>
</ol>
<p>We can call these tools using the <code class="language-plaintext highlighter-rouge">gdal_utils()</code> function from the
<strong>sf</strong> package.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>vrt = tempfile(fileext = ".vrt")
gdal_utils(util = "buildvrt", unlist(tifs), destination = vrt)
gdal_utils(util = "translate", vrt, destination = "predict.tif")
</code></pre></div></div>
<p>Once the parallel computation is complete, we can close the computing
cluster using <code class="language-plaintext highlighter-rouge">stopCluster()</code> function (this will delete the temporary
files).</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>stopCluster(cl)
</code></pre></div></div>
<p>So let’s see what our final map looks like.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>clustering = read_stars("predict.tif")
colors = c("#29a329", "#cbcbcb", "#ffffff", "#086209", "#fdd327", "#064d06")
names = c("Low vegetation", "Bare soil", "Cloud", "Forest 1", "Cropland", "Forest 2")
clustering[[1]] = factor(clustering[[1]], labels = names)
plot(clustering, main = NULL, col = colors, key.width = lcm(4))
</code></pre></div></div>
<p><img src="/images/stars-parallel-2-1.png" alt="" /></p>
Roger Bivand, Edzer Pebesma
sp evolution status: examples of migration from retiring packages
2023-05-15T00:00:00+00:00
https://www.r-spatial.org//r/2023/05/15/evolution4.html
<ul id="markdown-toc">
<li><a href="#sp-evolution-status" id="markdown-toc-sp-evolution-status"><code class="language-plaintext highlighter-rouge">sp</code> evolution status</a> <ul>
<li><a href="#use-of-sp-affected-functions-and-methods" id="markdown-toc-use-of-sp-affected-functions-and-methods">Use of <code class="language-plaintext highlighter-rouge">sp</code> affected functions and methods</a></li>
<li><a href="#possible-difficulties" id="markdown-toc-possible-difficulties">Possible difficulties</a></li>
<li><a href="#why-not-terra" id="markdown-toc-why-not-terra">Why not <code class="language-plaintext highlighter-rouge">terra</code>?</a></li>
</ul>
</li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2023-05-15-evolution4.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>:</p>
<p>This is the fourth report on the R-spatial evolution project and is
addressed to maintainers of packages and workflows using <code class="language-plaintext highlighter-rouge">sp</code> classes,
methods and functions. The project involves the retirement (archiving)
of <code class="language-plaintext highlighter-rouge">rgdal</code>, <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">maptools</code> during 2023. The <a href="https://r-spatial.org/r/2022/04/12/evolution.html">first
report</a> set out the
main goals of the project. The <a href="https://r-spatial.org/r/2022/12/14/evolution2.html">second
report</a> covered
progress so far, steps already taken, and those remaining to be
accomplished. The
<a href="https://r-spatial.org/r/2023/04/10/evolution3.html">third</a> gave
detailed guidance for maintainers of packages using the retiring
packages.</p>
<p>From June 2023, the internal evolution status setting of <code class="language-plaintext highlighter-rouge">sp</code> will be
changed from “business as usual” to “use <code class="language-plaintext highlighter-rouge">sf</code> instead of <code class="language-plaintext highlighter-rouge">rgdal</code> and
<code class="language-plaintext highlighter-rouge">rgeos</code>”. Packages depending on <code class="language-plaintext highlighter-rouge">sp</code> may need to add <code class="language-plaintext highlighter-rouge">sf</code> to their weak
dependencies, and to monitor any changes in output.</p>
<p>The final step will occur during October 2023, in five months, <code class="language-plaintext highlighter-rouge">rgdal</code>,
<code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">maptools</code> will be archived on CRAN, and packages with
strong dependencies on the retiring packages must be either upgraded to
use <code class="language-plaintext highlighter-rouge">sf</code>, <code class="language-plaintext highlighter-rouge">terra</code> or other alternatives or work-arounds by or before
that time. Making all required changes in the period from now to the
June <code class="language-plaintext highlighter-rouge">sp</code> change will mean just one round of adaptations rather than two
rounds.</p>
<p><a href="https://github.com/r-spatial/evolution/blob/main/pkgapi_230502.csv">This
spreadsheet</a>
lists methods and functions in retiring packages and <code class="language-plaintext highlighter-rouge">sp</code> found by
<code class="language-plaintext highlighter-rouge">pkgapi</code>. They are listed by function name as used by packages, and the
analogous list by package may be found of functions is
<a href="https://github.com/r-spatial/evolution/blob/main/pkgapi_by_pkg_230502.csv">here</a>.</p>
<h1 id="sp-evolution-status"><code class="language-plaintext highlighter-rouge">sp</code> evolution status</h1>
<p>Repeating from the second and third blogs:</p>
<p>As mentioned in our first report, <code class="language-plaintext highlighter-rouge">sp</code> on CRAN has been provided with
conditional code that prevents <code class="language-plaintext highlighter-rouge">sp</code> calling most code in <code class="language-plaintext highlighter-rouge">rgdal</code> or
<code class="language-plaintext highlighter-rouge">rgeos</code>. This can be enabled <em>before</em> loading <code class="language-plaintext highlighter-rouge">sp</code> by setting e.g.:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>options("sp_evolution_status"=2)
library(sp)
</code></pre></div></div>
<p>for checking packages under status</p>
<ul>
<li><code class="language-plaintext highlighter-rouge">0</code>: business as usual,</li>
<li><code class="language-plaintext highlighter-rouge">1</code>: stop if <code class="language-plaintext highlighter-rouge">rgdal</code> or <code class="language-plaintext highlighter-rouge">rgeos</code> are absent, or</li>
<li><code class="language-plaintext highlighter-rouge">2</code>: use <code class="language-plaintext highlighter-rouge">sf</code> instead of <code class="language-plaintext highlighter-rouge">rgdal</code> (currently no use of <code class="language-plaintext highlighter-rouge">rgeos</code> is
considered)</li>
</ul>
<p>or alternatively can be set as an environment variable read when <code class="language-plaintext highlighter-rouge">sp</code> is
loaded, e.g. when running checks from the command line by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>_SP_EVOLUTION_STATUS_=2 R CMD check
</code></pre></div></div>
<p>This construction should permit maintainers to detect potential problems
in code. <code class="language-plaintext highlighter-rouge">devtools::check()</code> provides the <code class="language-plaintext highlighter-rouge">env_vars=</code> argument, which
may be used for the same purpose.</p>
<p>From <code class="language-plaintext highlighter-rouge">sp 1.6.0</code> published on CRAN 2023-01-19, these status settings may
also be changed when <code class="language-plaintext highlighter-rouge">sp</code> is loaded, using <code class="language-plaintext highlighter-rouge">sp::get_evolution_status()</code>
returning the current value, and <code class="language-plaintext highlighter-rouge">sp::set_evolution_status(value)</code>,
where value can take the integer values <code class="language-plaintext highlighter-rouge">0L</code>, <code class="language-plaintext highlighter-rouge">1L</code> and <code class="language-plaintext highlighter-rouge">2L</code>.</p>
<h2 id="use-of-sp-affected-functions-and-methods">Use of <code class="language-plaintext highlighter-rouge">sp</code> affected functions and methods</h2>
<p>Under evolution status <code class="language-plaintext highlighter-rouge">2</code>, which will become the default in June 2023,
no use is made of <code class="language-plaintext highlighter-rouge">rgdal</code> in <code class="language-plaintext highlighter-rouge">sp::CRS</code>, <code class="language-plaintext highlighter-rouge">sp::is.projected</code>, and
<code class="language-plaintext highlighter-rouge">sp::spTransform</code>, rather using <code class="language-plaintext highlighter-rouge">sf</code> to access <code class="language-plaintext highlighter-rouge">PROJ</code> through <code class="language-plaintext highlighter-rouge">GDAL</code>. A
warning is given if <code class="language-plaintext highlighter-rouge">sf</code> is not available. This is similar to behaviour
under legacy <code class="language-plaintext highlighter-rouge">sp</code> and evolution status <code class="language-plaintext highlighter-rouge">0</code> with regard to the use of
<code class="language-plaintext highlighter-rouge">rgdal</code> to access <code class="language-plaintext highlighter-rouge">PROJ</code>.</p>
<p><code class="language-plaintext highlighter-rouge">sp::CRS</code> is used by the following packages (<code class="language-plaintext highlighter-rouge">pkgapi</code> May 2, 2023):</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>adehabitatHR adehabitatHS adehabitatLT adehabitatMA AFM AGPRIS angstroms
animaltracker anipaths antaresViz aqp AquaBEHER atakrig ausplotsR
bamlss bfsMaps biogeo bioRad biosurvey birdring birdscanR bivariatemaps
bRacatus briskaR
canadianmaps changeRangeR chronosphere cleangeo cmsafops cmsafvis
ConR CoordinateCleaner cruts ctmm
dartR DEPONS2R dggridR dismo dispeRse DRHotNet dtwSat dynamAedes dynamicSDM
ecospat elevatr EMbC epitweetr
fasterize FIESTAutils FLightR FRK
GapAnalysis gDefrag gdistance GeNetIt GeoAdjust GeodesiCL geodiv geofacet
geogrid geojsonio geomerge geoviz gfcanalysis ggOceanMaps gmGeostats
googletraffic GPSeqClus grainscape graticule gwer gwfa
hero Hmsc hydroTSM
iccTraj inlabru INLAspacetime intamap intSDM IsoriX itcSegment
kehra
lakemorpho leaflet letsR lgcp loa
macroBiome mapedit MapGAM mapmisc mapview MEDITS meteo meteoForecast
meteoland micromapST MinBAR momentuHMM morphomap move
nodiv
oceanic OpenStreetMap OSMscale
phyloregion places plotKML prevR PWFSLSmoke
QRAGadget quadmesh quickmapr quickPlot
RAC raster rasterVis rbgm rcanvec rCAT RCGLS RchivalTag rcrimeanalysis
ReadDIM red RgoogleMaps riverdist rleafmap rosm rpostgis RSIP rtop RWmisc
sdm sdStaf SeerMapper seg shadow SimSurvey soilassessment SongEvo spacetime
SpaDES.tools SpatialEpi spatialfusion SpatialGraph spatsoc spatsurv spbabel
spdep sperich spex spgwr stppSim stxplore SUNGEO SurfaceTortoise SWTools
tiler track2KBA TrajDataMining trajectories trip
uavRmp
vec2dtransf
waver WEGE wildlifeDI wkb wux
zoon
</code></pre></div></div>
<p><code class="language-plaintext highlighter-rouge">sp::is.projected</code> is used by:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>GapAnalysis GeNetIt intkrige ptools riverdist surveillance track2KBA trip
</code></pre></div></div>
<p>and <code class="language-plaintext highlighter-rouge">sp::spTransform</code> by:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>AGPRIS antaresViz
biosurvey bivariatemaps
canadianmaps chronosphere CoordinateCleaner ctmm
elevatr epitweetr
fastmaRching FLightR
GeoAdjust GeodesiCL geoviz ggOceanMaps
icosa inlabru INLAspacetime
loa
macroBiome mapedit mapview micromapST MinBAR momentuHMM mregions
quickmapr
raster rcanvec rcrimeanalysis reproducible RgoogleMaps riverdist rosm rpostgis
SeerMapper shadow SUNGEO
track2KBA
uavRmp
</code></pre></div></div>
<p>Reverse dependency checks of May 4, 2023 showed only 2 packages failing
<code class="language-plaintext highlighter-rouge">CMD check</code> under <code class="language-plaintext highlighter-rouge">_SP_EVOLUTION_STATUS_=2</code>, and their difficulties are
mentioned below (github issues have been raised offering maintainers
mitigations). The salient reasons are given below so that others facing
similar apparent intractible problems in workflows can perhaps benefit.
Since other packages passed <code class="language-plaintext highlighter-rouge">CMD check</code>, there are no strong reasons not
to flip <code class="language-plaintext highlighter-rouge">sp</code>’s evolution status in June 2023 from <code class="language-plaintext highlighter-rouge">rgdal</code> to <code class="language-plaintext highlighter-rouge">sf</code>.</p>
<h2 id="possible-difficulties">Possible difficulties</h2>
<p>One possible source of difference is that the strings (WKT2_2019,
Proj4) returned from <code class="language-plaintext highlighter-rouge">rgdal</code> came straight from <code class="language-plaintext highlighter-rouge">PROJ</code>, but <code class="language-plaintext highlighter-rouge">sf</code>
accesses <code class="language-plaintext highlighter-rouge">PROJ</code> through <code class="language-plaintext highlighter-rouge">GDAL</code>.</p>
<p>Another source of difference is that <code class="language-plaintext highlighter-rouge">rgdal</code> used <code class="language-plaintext highlighter-rouge">sp</code> S4 classes with
inheritance, but <code class="language-plaintext highlighter-rouge">sf</code> uses S3 classes which do not (seem to) treat
inheritance in the same way. So workflows using <code class="language-plaintext highlighter-rouge">sp</code> and classes, so
coercion to <code class="language-plaintext highlighter-rouge">sp</code> classes before <code class="language-plaintext highlighter-rouge">sp::spTransform</code> is required, and
reconstruction of the classes extending <code class="language-plaintext highlighter-rouge">sp</code> classes after return is
probably required.</p>
<p>A further potential cause of confusion is that round-tripping by
coercion to <code class="language-plaintext highlighter-rouge">sf</code> perhaps applying an operation, and returning to <code class="language-plaintext highlighter-rouge">sp</code>
may break rarely used <code class="language-plaintext highlighter-rouge">sp</code> methods, such as:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(sp)
getMethod("$", "SpatialPoints")
Method Definition:
function (x, name)
{
if (name %in% coordnames(x))
return(x@coords[, name])
if (!("data" %in% slotNames(x)))
stop("no $ method for object without attributes")
x@data[[name]]
}
<bytecode: 0x5581566f5a68>
<environment: namespace:sp>
Signatures:
x
target "SpatialPoints"
defined "SpatialPoints"
</code></pre></div></div>
<p>which accesses columns by name no longer in the <code class="language-plaintext highlighter-rouge">data.frame</code> in the data
slot through the column names of the matrix of points:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>data(meuse)
names(meuse)
[1] "x" "y" "cadmium" "copper" "lead" "zinc" "elev"
[8] "dist" "om" "ffreq" "soil" "lime" "landuse" "dist.m"
coordinates(meuse) <- ~ x + y
names(meuse)
[1] "cadmium" "copper" "lead" "zinc" "elev" "dist" "om"
[8] "ffreq" "soil" "lime" "landuse" "dist.m"
colnames(slot(meuse, "coords"))
[1] "x" "y"
str(meuse$x)
Named num [1:155] 181072 181025 181165 181298 181307 ...
- attr(*, "names")= chr [1:155] "1" "2" "3" "4" ...
</code></pre></div></div>
<p>So far so good, but round-tripping changes the column names of the
matrix of points:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>meuse_rt <- as(sf::st_as_sf(meuse), "Spatial")
names(meuse_rt)
[1] "cadmium" "copper" "lead" "zinc" "elev" "dist" "om"
[8] "ffreq" "soil" "lime" "landuse" "dist.m"
colnames(slot(meuse_rt, "coords"))
[1] "coords.x1" "coords.x2"
</code></pre></div></div>
<p>Consequently, code using this legacy short cut may be a source of
difficulty.</p>
<h2 id="why-not-terra">Why not <code class="language-plaintext highlighter-rouge">terra</code>?</h2>
<p>The reason for choosing to replace <code class="language-plaintext highlighter-rouge">rgdal</code> by <code class="language-plaintext highlighter-rouge">sf</code> for these three
methods has been the absence of an independent object for coordinate
reference systems matching <code class="language-plaintext highlighter-rouge">"CRS"</code> in <code class="language-plaintext highlighter-rouge">sp</code> and <code class="language-plaintext highlighter-rouge">"crs"</code> in <code class="language-plaintext highlighter-rouge">sf</code>.</p>
<p>It would be possible to create an empty <code class="language-plaintext highlighter-rouge">"SpatVector"</code> object and assign
a coordinate reference system, coerce to <code class="language-plaintext highlighter-rouge">sp</code>, and extract the <code class="language-plaintext highlighter-rouge">"CRS"</code>
object:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>v <- terra::vect(matrix(c(0, 0), nrow=1), crs="OGC:CRS84")
library(raster)
slot(as(v, "Spatial"), "proj4string")
Coordinate Reference System:
Deprecated Proj.4 representation: +proj=longlat +datum=WGS84 +no_defs
WKT2 2019 representation:
GEOGCRS["unknown",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]],
ID["EPSG",6326]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]],
CS[ellipsoidal,2],
AXIS["longitude",east,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]],
AXIS["latitude",north,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]]]
</code></pre></div></div>
<p>but this seems somewhat forced. If there is substantial demand for an
alternative mechanism using <code class="language-plaintext highlighter-rouge">terra</code> and <code class="language-plaintext highlighter-rouge">raster</code> in place of <code class="language-plaintext highlighter-rouge">sf</code>, then
a well-tested pull request would be considered. It is understandable
that Windows or macOS users who otherwise would not need to install
<code class="language-plaintext highlighter-rouge">sf</code>, and who are already using <code class="language-plaintext highlighter-rouge">terra</code> might prefer to stay with
<code class="language-plaintext highlighter-rouge">terra</code> inside <code class="language-plaintext highlighter-rouge">sp</code>, but input to the evolution project would be needed
to take any action. It may rather be simpler for users with such
workflows to migrate to <code class="language-plaintext highlighter-rouge">terra</code> instead of sustaining a mixed <code class="language-plaintext highlighter-rouge">sp</code>,
<code class="language-plaintext highlighter-rouge">raster</code> vector combination when <code class="language-plaintext highlighter-rouge">terra</code> can probably cover all needs.</p>
Roger Bivand, Edzer Pebesma
Progress on R-spatial evolution, Apr 2023
2023-04-10T00:00:00+00:00
https://www.r-spatial.org//r/2023/04/10/evolution3.html
<ul id="markdown-toc">
<li><a href="#sp-evolution-status" id="markdown-toc-sp-evolution-status"><code class="language-plaintext highlighter-rouge">sp</code> evolution status</a></li>
<li><a href="#splitting-r_libs" id="markdown-toc-splitting-r_libs">Splitting <code class="language-plaintext highlighter-rouge">R_LIBS</code></a></li>
<li><a href="#asdar-examples-using-sf-or-terra" id="markdown-toc-asdar-examples-using-sf-or-terra">ASDAR examples using <code class="language-plaintext highlighter-rouge">sf</code> or <code class="language-plaintext highlighter-rouge">terra</code></a></li>
<li><a href="#which-sf-or-terra-methods-or-functions-match-retiring-methods-or-functions" id="markdown-toc-which-sf-or-terra-methods-or-functions-match-retiring-methods-or-functions">Which <code class="language-plaintext highlighter-rouge">sf</code> or <code class="language-plaintext highlighter-rouge">terra</code> methods or functions match retiring methods or functions?</a></li>
<li><a href="#conserving-sp-workflows" id="markdown-toc-conserving-sp-workflows">Conserving <code class="language-plaintext highlighter-rouge">sp</code> workflows</a> <ul>
<li><a href="#spatvector-coercion" id="markdown-toc-spatvector-coercion"><code class="language-plaintext highlighter-rouge">"SpatVector"</code> coercion</a> <ul>
<li><a href="#sf" id="markdown-toc-sf"><code class="language-plaintext highlighter-rouge">"sf"</code></a></li>
<li><a href="#spatial" id="markdown-toc-spatial"><code class="language-plaintext highlighter-rouge">"Spatial"</code></a></li>
</ul>
</li>
<li><a href="#spatraster-coercion" id="markdown-toc-spatraster-coercion"><code class="language-plaintext highlighter-rouge">"SpatRaster"</code> coercion</a> <ul>
<li><a href="#stars" id="markdown-toc-stars"><code class="language-plaintext highlighter-rouge">"stars"</code></a></li>
<li><a href="#rasterlayer" id="markdown-toc-rasterlayer"><code class="language-plaintext highlighter-rouge">"RasterLayer"</code></a></li>
<li><a href="#spatial-1" id="markdown-toc-spatial-1"><code class="language-plaintext highlighter-rouge">"Spatial"</code></a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#deprecation-steps" id="markdown-toc-deprecation-steps">Deprecation steps</a></li>
<li><a href="#moderate-progress-in-de-coupling-packages" id="markdown-toc-moderate-progress-in-de-coupling-packages">Moderate progress in de-coupling packages</a></li>
<li><a href="#reverse-depencency-checks-2023-03-22" id="markdown-toc-reverse-depencency-checks-2023-03-22">Reverse depencency checks 2023-03-22</a> <ul>
<li><a href="#references" id="markdown-toc-references">References</a></li>
</ul>
</li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2023-04-10-evolution3.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>:</p>
<p>This is the third report on the R-spatial evolution project. The project
involves the retirement (archiving) of <code class="language-plaintext highlighter-rouge">rgdal</code>, <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">maptools</code>
during 2023. The <a href="https://r-spatial.org/r/2022/04/12/evolution.html">first
report</a> set out the
main goals of the project. The <a href="https://r-spatial.org/r/2022/12/14/evolution2.html">second
report</a> covered
progress so far, steps already taken, and those remaining to be
accomplished. A
<a href="https://rsbivand.github.io/csds_jan23/bivand_csds_ssg_230117.pdf">talk</a>
at the University of Chicago Center for Spatial Data Science in January
2023 has been made available as a
<a href="https://www.youtube.com/watch?v=TlpjIqTPMCA&list=PLzREt6r1NenmWEidssmLm-VO_YmAh4pq9&index=1">recording</a>.
The talk is an intermediate report between the last blog and this blog,
and should be consulted for updates on topics not covered here
(including much better response to raising github issues for packages
compared to bulk emails).</p>
<p>There are now two key dates in the schedule:</p>
<ul>
<li>
<p>during June 2023, in just three months, the internal evolution
status setting of <code class="language-plaintext highlighter-rouge">sp</code> will be changed from “business as usual” to
“use <code class="language-plaintext highlighter-rouge">sf</code> instead of <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code>. Packages depending on <code class="language-plaintext highlighter-rouge">sp</code>
may need to add <code class="language-plaintext highlighter-rouge">sf</code> to their weak dependencies, and to monitor any
changes in output.</p>
</li>
<li>
<p>during October 2023, in seven months, <code class="language-plaintext highlighter-rouge">rgdal</code>, <code class="language-plaintext highlighter-rouge">rgeos</code> and
<code class="language-plaintext highlighter-rouge">maptools</code> will be archived on CRAN, and packages with strong
dependencies on the retiring packages must be either upgraded to use
<code class="language-plaintext highlighter-rouge">sf</code>, <code class="language-plaintext highlighter-rouge">terra</code> or other alternatives or work-arounds by or before
that time.</p>
</li>
</ul>
<p>Waiting until October before acting risks workflow interruption, and is
not wise. A satisfying number of package maintainers with packages
depending on <code class="language-plaintext highlighter-rouge">raster</code>, which dropped <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code> in favour of
<code class="language-plaintext highlighter-rouge">terra</code> six months ago, have already removed unneeded dependencies on
<code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">rgdal</code>. Making all required changes in the period from now
to the June <code class="language-plaintext highlighter-rouge">sp</code> change will mean just one round of adaptations rather
than two rounds.</p>
<p>In order to facilitate migration, this blog will present steps taken to
modify the <code class="language-plaintext highlighter-rouge">sp</code>, <code class="language-plaintext highlighter-rouge">rgdal</code>, <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">maptools</code> code used in
<a href="https://asdar-book.org/">ASDAR</a> (Bivand, Pebesma, and Gomez-Rubio
2013), and to be found in <a href="https://github.com/rsbivand/sf_asdar2ed">this github
repository</a>. This extends the
<a href="https://github.com/r-spatial/sf/wiki/Migrating"><code class="language-plaintext highlighter-rouge">sf</code> Wiki</a> published
when <code class="language-plaintext highlighter-rouge">sf</code> was being introduced.</p>
<h1 id="sp-evolution-status"><code class="language-plaintext highlighter-rouge">sp</code> evolution status</h1>
<p>Repeating from the second blog:</p>
<p>As mentioned in our first report, <code class="language-plaintext highlighter-rouge">sp</code> on CRAN has been provided with
conditional code that prevents <code class="language-plaintext highlighter-rouge">sp</code> calling most code in <code class="language-plaintext highlighter-rouge">rgdal</code> or
<code class="language-plaintext highlighter-rouge">rgeos</code>. This can be enabled <em>before</em> loading <code class="language-plaintext highlighter-rouge">sp</code> by setting e.g.:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>options("sp_evolution_status"=2)
library(sp)
</code></pre></div></div>
<p>for checking packages under status</p>
<ul>
<li><code class="language-plaintext highlighter-rouge">0</code>: business as usual,</li>
<li><code class="language-plaintext highlighter-rouge">1</code>: stop if <code class="language-plaintext highlighter-rouge">rgdal</code> or <code class="language-plaintext highlighter-rouge">rgeos</code> are absent, or</li>
<li><code class="language-plaintext highlighter-rouge">2</code>: use <code class="language-plaintext highlighter-rouge">sf</code> instead of <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code></li>
</ul>
<p>or alternatively can be set as an environment variable read when <code class="language-plaintext highlighter-rouge">sp</code> is
loaded, e.g. when running checks from the command line by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>_SP_EVOLUTION_STATUS_=2 R CMD check
</code></pre></div></div>
<p>This construction should permit maintainers to detect potential problems
in code. <code class="language-plaintext highlighter-rouge">devtools::check()</code> provides the <code class="language-plaintext highlighter-rouge">env_vars=</code> argument, which
may be used for the same purpose.</p>
<p>From <code class="language-plaintext highlighter-rouge">sp 1.6.0</code> published on CRAN 2023-01-19, these status settings may
also be changed when <code class="language-plaintext highlighter-rouge">sp</code> is loaded, using <code class="language-plaintext highlighter-rouge">sp::get_evolution_status()</code>
returning the current value, and <code class="language-plaintext highlighter-rouge">sp::set_evolution_status(value)</code>,
where value can take the integer values <code class="language-plaintext highlighter-rouge">0L</code>, <code class="language-plaintext highlighter-rouge">1L</code> and <code class="language-plaintext highlighter-rouge">2L</code>.</p>
<h1 id="splitting-r_libs">Splitting <code class="language-plaintext highlighter-rouge">R_LIBS</code></h1>
<p>Maintainers may also find it helpful to split the user-writable package
library into one main part, and a separate part containing only retiring
packages. In this way one can detect other undocumented use of the
retiring packages by mimicking the post-retirement scenario as installed
retiring packages decay. In my case:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>Sys.getenv("R_LIBS")
[1] "/home/rsb/lib/r_libs:/home/rsb/lib/r_libs_retiring"
(lP <- .libPaths())
[1] "/home/rsb/lib/r_libs"
[2] "/home/rsb/lib/r_libs_retiring"
[3] "/home/rsb/topics/R/R423-share/lib64/R/library"
length(r_libs <- list.files(lP[1]))
[1] 3982
(rets <- list.files(lP[2]))
[1] "maptools" "rgdal" "rgeos"
rets %in% r_libs
[1] FALSE FALSE FALSE
</code></pre></div></div>
<p>This means that I can proceed without changing <code class="language-plaintext highlighter-rouge">R_LIBS</code> if I want loaded
packages to be able to see the installed retiring packages, but can
manipulate <code class="language-plaintext highlighter-rouge">R_LIBS</code> for example when checking:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>_SP_EVOLUTION_STATUS_=2 R_LIBS="/home/rsb/lib/r_libs" R CMD check
</code></pre></div></div>
<p>to see that a package really avoids loading them.</p>
<p>The critical point will be reached in April 2024, when R 4.4 is
expected, and when the <code class="language-plaintext highlighter-rouge">checkBuilt=</code> argument to <code class="language-plaintext highlighter-rouge">update.packages()</code>
will show that the retiring packages are no longer available for the new
version of R. This can be emulated under control by splitting the
user-writable package library early.</p>
<h1 id="asdar-examples-using-sf-or-terra">ASDAR examples using <code class="language-plaintext highlighter-rouge">sf</code> or <code class="language-plaintext highlighter-rouge">terra</code></h1>
<p>The ASDAR (Bivand, Pebesma, and Gomez-Rubio 2013) examples use <code class="language-plaintext highlighter-rouge">sp</code>
evolution status and split <code class="language-plaintext highlighter-rouge">R_LIBS</code> extensively in nightly testing.
ASDAR code for both book editions has always been run nightly, to alert
the authors to anomalies from updates of packages and/or upstream
geospatial software libraries. The code in the <code class="language-plaintext highlighter-rouge">sf_tests2ed</code> repository
was based on the second edition code, updated and simplified. The files
for file comparison using <code class="language-plaintext highlighter-rouge">diff</code> and presented in HTML by <code class="language-plaintext highlighter-rouge">diff2html</code>
have been further cleaned, removing spurious differences introduced by
commenting out legacy code.</p>
<p>The results of file comparison by chapter are available through the
following links (all chapters using <code class="language-plaintext highlighter-rouge">sf</code>, chapters 2, 4 and 5 also using
<code class="language-plaintext highlighter-rouge">terra</code> in separate scripts):</p>
<ul>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/cm_diff.html">Classes for Spatial Data in
R</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/cm_terra_diff.html">Classes for Spatial Data in R, <code class="language-plaintext highlighter-rouge">terra</code>
version</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/vis_diff.html">Visualising Spatial
Data</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/die_diff.html">Spatial Data Import and
Export</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/die_terra_diff.html">Spatial Data Import and Export, <code class="language-plaintext highlighter-rouge">terra</code>
version</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/cm2_diff.html">Further Methods for Handling Spatial
Data</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/cm2_terra_diff.html">Further Methods for Handling Spatial Data, <code class="language-plaintext highlighter-rouge">terra</code>
version</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/sppa_diff.html">Spatial Point Pattern
Analysis</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/geos_diff.html">Interpolation and
Geostatistics</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/lat_diff.html">Modelling Areal
Data</a></p>
</li>
<li>
<p><a href="https://r-spatial.github.io/evolution/diffs/dismap_diff.html">Disease
Mapping</a></p>
</li>
</ul>
<h1 id="which-sf-or-terra-methods-or-functions-match-retiring-methods-or-functions">Which <code class="language-plaintext highlighter-rouge">sf</code> or <code class="language-plaintext highlighter-rouge">terra</code> methods or functions match retiring methods or functions?</h1>
<p>The ASDAR scripts give numerous examples of how use of functionality
from the retiring packages may be replaced by <code class="language-plaintext highlighter-rouge">sf</code> or <code class="language-plaintext highlighter-rouge">terra</code> and
coercion to or from <code class="language-plaintext highlighter-rouge">sp</code> classes. Using early March 2023 <code class="language-plaintext highlighter-rouge">pkgapi</code> runs
identifying CRAN packages using retiring package functions, line
references to the diffs for ch. 2, 4 and 5 have been added for <code class="language-plaintext highlighter-rouge">sf</code> and
<code class="language-plaintext highlighter-rouge">terra</code> variants, and lists of methods and functions from <code class="language-plaintext highlighter-rouge">sf</code> or
<code class="language-plaintext highlighter-rouge">terra</code>, in addition to lists of affected packages (also see:
<a href="https://github.com/r-spatial/evolution/blob/main/pkgapi_by_pkg_230305.csv">https://github.com/r-spatial/evolution/blob/main/pkgapi_by_pkg_230305.csv</a>).
The spreadsheet is wide, so scrolling right is required (or a wider
window):
<a href="https://github.com/r-spatial/evolution/blob/main/pkgapi_230305_refs.csv">https://github.com/r-spatial/evolution/blob/main/pkgapi_230305_refs.csv</a>.</p>
<p>The main points are that <code class="language-plaintext highlighter-rouge">rgeos</code> binary predicates usually have similar
names in <code class="language-plaintext highlighter-rouge">sf</code> but in <code class="language-plaintext highlighter-rouge">terra</code> go through <code class="language-plaintext highlighter-rouge">terra::relate</code>, reading and
writing vector files are well-supported, reading and writing raster
files in <code class="language-plaintext highlighter-rouge">terra::rast</code> is more like the <code class="language-plaintext highlighter-rouge">rgdal</code> functions than through
<code class="language-plaintext highlighter-rouge">stars</code>, and so on.</p>
<p>These so far only cover functions called in code, not in examples or
vignettes, but provide a good framework for required modifications.</p>
<h1 id="conserving-sp-workflows">Conserving <code class="language-plaintext highlighter-rouge">sp</code> workflows</h1>
<p>While we encourage users and maintainers of packages currently utilising
the retiring packages to migrate fully to modern packages, such as
<code class="language-plaintext highlighter-rouge">terra</code> for <code class="language-plaintext highlighter-rouge">raster</code> users and <code class="language-plaintext highlighter-rouge">sf</code> and <code class="language-plaintext highlighter-rouge">stars</code> for other <code class="language-plaintext highlighter-rouge">sp</code> users,
some may prefer, in the short term, to keep <code class="language-plaintext highlighter-rouge">sp</code> workflows running, as
demonstrated in the ASDAR scripts. The diff files show that coercion
between representations is used extensively to mitigate the
non-availability of retiring packages. In the “Classes for Spatial Data”
chapter diffs, we see straight away that <code class="language-plaintext highlighter-rouge">sp::CRS()</code>, with <code class="language-plaintext highlighter-rouge">rgdal</code>
checking the CRS string, is replaced by <code class="language-plaintext highlighter-rouge">as(sf::st_crs(), "CRS")</code>, with
<code class="language-plaintext highlighter-rouge">sf</code> checking the CRS string. <code class="language-plaintext highlighter-rouge">terra</code> does not have a similar class, and
coordinate reference systems are part of instantiated objects or are
character strings.</p>
<p><code class="language-plaintext highlighter-rouge">rgrass</code> has a
<a href="https://cran.r-project.org/web/packages/rgrass/vignettes/coerce.html">vignette</a>
on spatial object coercion; <code class="language-plaintext highlighter-rouge">rgrass</code> uses <code class="language-plaintext highlighter-rouge">terra</code> for file transfer
between R and GRASS GIS, hence the examples start from object classes
defined in <code class="language-plaintext highlighter-rouge">terra</code>. The following is a short extract:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>Sys.setenv("_SP_EVOLUTION_STATUS_"="2")
</code></pre></div></div>
<p>On loading and attaching, <code class="language-plaintext highlighter-rouge">terra</code> displays its version:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library("terra")
terra 1.7.18
library("sf")
Linking to GEOS 3.11.2, GDAL 3.6.3, PROJ 9.2.0; sf_use_s2() is TRUE
library("sp")
library("stars")
Loading required package: abind
library("raster")
</code></pre></div></div>
<p><code class="language-plaintext highlighter-rouge">terra::gdal()</code> tells us the versions of the external libraries being
used by <code class="language-plaintext highlighter-rouge">terra</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>gdal(lib="all")
gdal proj geos
"3.6.3" "9.2.0" "3.11.2"
</code></pre></div></div>
<h2 id="spatvector-coercion"><code class="language-plaintext highlighter-rouge">"SpatVector"</code> coercion</h2>
<p>In the <code class="language-plaintext highlighter-rouge">terra</code> package (Hijmans 2023b), vector data are held in
<code class="language-plaintext highlighter-rouge">"SpatVector"</code> objects.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>fv <- system.file("ex/lux.shp", package="terra")
(v <- vect(fv))
class : SpatVector
geometry : polygons
dimensions : 12, 6 (geometries, attributes)
extent : 5.74414, 6.528252, 49.44781, 50.18162 (xmin, xmax, ymin, ymax)
source : lux.shp
coord. ref. : lon/lat WGS 84 (EPSG:4326)
names : ID_1 NAME_1 ID_2 NAME_2 AREA POP
type : <num> <chr> <num> <chr> <num> <int>
values : 1 Diekirch 1 Clervaux 312 18081
1 Diekirch 2 Diekirch 218 32543
1 Diekirch 3 Redange 259 18664
</code></pre></div></div>
<p>The coordinate reference system is expressed in WKT2-2019 form:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>cat(crs(v), "\n")
GEOGCRS["WGS 84",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
CS[ellipsoidal,2],
AXIS["geodetic latitude (Lat)",north,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433]],
AXIS["geodetic longitude (Lon)",east,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433]],
ID["EPSG",4326]]
</code></pre></div></div>
<h3 id="sf"><code class="language-plaintext highlighter-rouge">"sf"</code></h3>
<p>Most new work should use vector classes defined in the <code class="language-plaintext highlighter-rouge">sf</code> package
(Pebesma 2023, 2018), unless other <code class="language-plaintext highlighter-rouge">terra</code> classes are involved, in
which case the <code class="language-plaintext highlighter-rouge">terra</code> representation may be preferred. In this case,
coercion uses <code class="language-plaintext highlighter-rouge">st_as_sf()</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>v_sf <- st_as_sf(v)
v_sf
Simple feature collection with 12 features and 6 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 5.74414 ymin: 49.44781 xmax: 6.528252 ymax: 50.18162
Geodetic CRS: WGS 84
First 10 features:
ID_1 NAME_1 ID_2 NAME_2 AREA POP
1 1 Diekirch 1 Clervaux 312 18081
2 1 Diekirch 2 Diekirch 218 32543
3 1 Diekirch 3 Redange 259 18664
4 1 Diekirch 4 Vianden 76 5163
5 1 Diekirch 5 Wiltz 263 16735
6 2 Grevenmacher 6 Echternach 188 18899
7 2 Grevenmacher 7 Remich 129 22366
8 2 Grevenmacher 12 Grevenmacher 210 29828
9 3 Luxembourg 8 Capellen 185 48187
10 3 Luxembourg 9 Esch-sur-Alzette 251 176820
geometry
1 POLYGON ((6.026519 50.17767...
2 POLYGON ((6.178368 49.87682...
3 POLYGON ((5.881378 49.87015...
4 POLYGON ((6.131309 49.97256...
5 POLYGON ((5.977929 50.02602...
6 POLYGON ((6.385532 49.83703...
7 POLYGON ((6.316665 49.62337...
8 POLYGON ((6.425158 49.73164...
9 POLYGON ((5.998312 49.69992...
10 POLYGON ((6.039474 49.44826...
</code></pre></div></div>
<p>and the <code class="language-plaintext highlighter-rouge">vect()</code> method to get from <code class="language-plaintext highlighter-rouge">sf</code> to <code class="language-plaintext highlighter-rouge">terra</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>v_sf_rt <- vect(v_sf)
v_sf_rt
class : SpatVector
geometry : polygons
dimensions : 12, 6 (geometries, attributes)
extent : 5.74414, 6.528252, 49.44781, 50.18162 (xmin, xmax, ymin, ymax)
coord. ref. : lon/lat WGS 84 (EPSG:4326)
names : ID_1 NAME_1 ID_2 NAME_2 AREA POP
type : <num> <chr> <num> <chr> <num> <int>
values : 1 Diekirch 1 Clervaux 312 18081
1 Diekirch 2 Diekirch 218 32543
1 Diekirch 3 Redange 259 18664
all.equal(v_sf_rt, v, check.attributes=FALSE)
[1] TRUE
</code></pre></div></div>
<h3 id="spatial"><code class="language-plaintext highlighter-rouge">"Spatial"</code></h3>
<p>To coerce to and from vector classes defined in the <code class="language-plaintext highlighter-rouge">sp</code> package
(Bivand, Pebesma, and Gomez-Rubio 2013), methods in <code class="language-plaintext highlighter-rouge">raster</code> are used as
an intermediate step:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>v_sp <- as(v, "Spatial")
print(summary(v_sp))
Object of class SpatialPolygonsDataFrame
Coordinates:
min max
x 5.74414 6.528252
y 49.44781 50.181622
Is projected: FALSE
proj4string : [+proj=longlat +datum=WGS84 +no_defs]
Data attributes:
ID_1 NAME_1 ID_2 NAME_2
Min. :1.000 Length:12 Min. : 1.00 Length:12
1st Qu.:1.000 Class :character 1st Qu.: 3.75 Class :character
Median :2.000 Mode :character Median : 6.50 Mode :character
Mean :1.917 Mean : 6.50
3rd Qu.:3.000 3rd Qu.: 9.25
Max. :3.000 Max. :12.00
AREA POP
Min. : 76.0 Min. : 5163
1st Qu.:187.2 1st Qu.: 18518
Median :225.5 Median : 26097
Mean :213.4 Mean : 50167
3rd Qu.:253.0 3rd Qu.: 36454
Max. :312.0 Max. :182607
v_sp_rt <- vect(st_as_sf(v_sp))
all.equal(v_sp_rt, v, check.attributes=FALSE)
[1] TRUE
</code></pre></div></div>
<h2 id="spatraster-coercion"><code class="language-plaintext highlighter-rouge">"SpatRaster"</code> coercion</h2>
<p>In the <code class="language-plaintext highlighter-rouge">terra</code> package, raster data are held in <code class="language-plaintext highlighter-rouge">"SpatRaster"</code> objects.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>fr <- system.file("ex/elev.tif", package="terra")
(r <- rast(fr))
class : SpatRaster
dimensions : 90, 95, 1 (nrow, ncol, nlyr)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
coord. ref. : lon/lat WGS 84 (EPSG:4326)
source : elev.tif
name : elevation
min value : 141
max value : 547
</code></pre></div></div>
<p>In general, <code class="language-plaintext highlighter-rouge">"SpatRaster"</code> objects are files, rather than data held in
memory:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>try(inMemory(r))
[1] FALSE
</code></pre></div></div>
<h3 id="stars"><code class="language-plaintext highlighter-rouge">"stars"</code></h3>
<p>The <code class="language-plaintext highlighter-rouge">stars</code> package (Pebesma 2022) uses GDAL through <code class="language-plaintext highlighter-rouge">sf</code>. A coercion
method is provided from <code class="language-plaintext highlighter-rouge">"SpatRaster"</code> to <code class="language-plaintext highlighter-rouge">"stars"</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>r_stars <- st_as_stars(r)
print(r_stars)
stars object with 2 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
elev.tif 141 291 333 348.3366 406 547 3942
dimension(s):
from to offset delta refsys point x/y
x 1 95 5.74167 0.00833333 WGS 84 FALSE [x]
y 1 90 50.1917 -0.00833333 WGS 84 FALSE [y]
</code></pre></div></div>
<p>which round-trips in memory.</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r_stars_rt <- rast(r_stars))
class : SpatRaster
dimensions : 90, 95, 1 (nrow, ncol, nlyr)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
coord. ref. : lon/lat WGS 84 (EPSG:4326)
source(s) : memory
name : lyr.1
min value : 141
max value : 547
</code></pre></div></div>
<p>When coercing to <code class="language-plaintext highlighter-rouge">"stars_proxy"</code> the same applies:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r_stars_p <- st_as_stars(r, proxy=TRUE))
stars_proxy object with 1 attribute in 1 file(s):
$elev.tif
[1] "[...]/elev.tif"
dimension(s):
from to offset delta refsys point x/y
x 1 95 5.74167 0.00833333 WGS 84 FALSE [x]
y 1 90 50.1917 -0.00833333 WGS 84 FALSE [y]
</code></pre></div></div>
<p>with coercion from <code class="language-plaintext highlighter-rouge">"stars_proxy"</code> also not reading data into memory:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r_stars_p_rt <- rast(r_stars_p))
class : SpatRaster
dimensions : 90, 95, 1 (nrow, ncol, nlyr)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
coord. ref. : lon/lat WGS 84 (EPSG:4326)
source : elev.tif
name : elevation
min value : 141
max value : 547
</code></pre></div></div>
<h3 id="rasterlayer"><code class="language-plaintext highlighter-rouge">"RasterLayer"</code></h3>
<p>From version 3.6-3 the <code class="language-plaintext highlighter-rouge">raster</code> package (Hijmans 2023a) uses <code class="language-plaintext highlighter-rouge">terra</code> for
all GDAL operations. Because of this, coercing a <code class="language-plaintext highlighter-rouge">"SpatRaster"</code> object
to a <code class="language-plaintext highlighter-rouge">"RasterLayer"</code> object is simple:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r_RL <- raster(r))
class : RasterLayer
dimensions : 90, 95, 8550 (nrow, ncol, ncell)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
crs : +proj=longlat +datum=WGS84 +no_defs
source : elev.tif
names : elevation
values : 141, 547 (min, max)
inMemory(r_RL)
[1] FALSE
</code></pre></div></div>
<p>The WKT2-2019 CRS representation is present but not shown by default:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>cat(wkt(r_RL), "\n")
GEOGCRS["unknown",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]],
ID["EPSG",6326]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]],
CS[ellipsoidal,2],
AXIS["longitude",east,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]],
AXIS["latitude",north,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]]]
</code></pre></div></div>
<p>This object (held on file rather than in memory) can be round-tripped:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r_RL_rt <- rast(r_RL))
class : SpatRaster
dimensions : 90, 95, 1 (nrow, ncol, nlyr)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +no_defs
source : elev.tif
name : elevation
min value : 141
max value : 547
</code></pre></div></div>
<h3 id="spatial-1"><code class="language-plaintext highlighter-rouge">"Spatial"</code></h3>
<p><code class="language-plaintext highlighter-rouge">"RasterLayer"</code> objects can be used for coercion from a <code class="language-plaintext highlighter-rouge">"SpatRaster"</code>
object to a <code class="language-plaintext highlighter-rouge">"SpatialGridDataFrame"</code> object:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>r_sp_RL <- as(r_RL, "SpatialGridDataFrame")
summary(r_sp_RL)
Object of class SpatialGridDataFrame
Coordinates:
min max
s1 5.741667 6.533333
s2 49.441667 50.191667
Is projected: FALSE
proj4string : [+proj=longlat +datum=WGS84 +no_defs]
Grid attributes:
cellcentre.offset cellsize cells.dim
s1 5.745833 0.008333333 95
s2 49.445833 0.008333333 90
Data attributes:
elevation
Min. :141.0
1st Qu.:291.0
Median :333.0
Mean :348.3
3rd Qu.:406.0
Max. :547.0
NA's :3942
</code></pre></div></div>
<p>The WKT2-2019 CRS representation is present but not shown by default:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>cat(wkt(r_sp_RL), "\n")
GEOGCRS["unknown",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]],
ID["EPSG",6326]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]],
CS[ellipsoidal,2],
AXIS["longitude",east,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]],
AXIS["latitude",north,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]]]
</code></pre></div></div>
<p>This object can be round-tripped, but use of <code class="language-plaintext highlighter-rouge">raster</code> forefronts the
Proj.4 string CRS representation:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r_sp_RL_rt <- raster(r_sp_RL))
class : RasterLayer
dimensions : 90, 95, 8550 (nrow, ncol, ncell)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
crs : +proj=longlat +datum=WGS84 +no_defs
source : memory
names : elevation
values : 141, 547 (min, max)
cat(wkt(r_sp_RL_rt), "\n")
GEOGCRS["unknown",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]],
ID["EPSG",6326]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]],
CS[ellipsoidal,2],
AXIS["longitude",east,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]],
AXIS["latitude",north,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]]]
(r_sp_rt <- rast(r_sp_RL_rt))
class : SpatRaster
dimensions : 90, 95, 1 (nrow, ncol, nlyr)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +no_defs
source(s) : memory
name : elevation
min value : 141
max value : 547
crs(r_sp_RL_rt)
Coordinate Reference System:
Deprecated Proj.4 representation: +proj=longlat +datum=WGS84 +no_defs
WKT2 2019 representation:
GEOGCRS["unknown",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]],
ID["EPSG",6326]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]],
CS[ellipsoidal,2],
AXIS["longitude",east,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]],
AXIS["latitude",north,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]]]
</code></pre></div></div>
<p>Coercion to the <code class="language-plaintext highlighter-rouge">sp</code> <code class="language-plaintext highlighter-rouge">"SpatialGridDataFrame"</code> representation is also
provided by <code class="language-plaintext highlighter-rouge">stars</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>r_sp_stars <- as(r_stars, "Spatial")
summary(r_sp_stars)
Object of class SpatialGridDataFrame
Coordinates:
min max
x 5.741667 6.533333
y 49.441667 50.191667
Is projected: FALSE
proj4string : [+proj=longlat +datum=WGS84 +no_defs]
Grid attributes:
cellcentre.offset cellsize cells.dim
x 5.745833 0.008333333 95
y 49.445833 0.008333333 90
Data attributes:
elev.tif
Min. :141.0
1st Qu.:291.0
Median :333.0
Mean :348.3
3rd Qu.:406.0
Max. :547.0
NA's :3942
cat(wkt(r_sp_stars), "\n")
GEOGCRS["WGS 84",
ENSEMBLE["World Geodetic System 1984 ensemble",
MEMBER["World Geodetic System 1984 (Transit)"],
MEMBER["World Geodetic System 1984 (G730)"],
MEMBER["World Geodetic System 1984 (G873)"],
MEMBER["World Geodetic System 1984 (G1150)"],
MEMBER["World Geodetic System 1984 (G1674)"],
MEMBER["World Geodetic System 1984 (G1762)"],
MEMBER["World Geodetic System 1984 (G2139)"],
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]],
ENSEMBLEACCURACY[2.0]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
CS[ellipsoidal,2],
AXIS["geodetic latitude (Lat)",north,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433]],
AXIS["geodetic longitude (Lon)",east,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433]],
USAGE[
SCOPE["Horizontal component of 3D system."],
AREA["World."],
BBOX[-90,-180,90,180]],
ID["EPSG",4326]]
</code></pre></div></div>
<p>and can be round-tripped:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r_sp_stars_rt <- rast(st_as_stars(r_sp_stars)))
class : SpatRaster
dimensions : 90, 95, 1 (nrow, ncol, nlyr)
resolution : 0.008333333, 0.008333333 (x, y)
extent : 5.741667, 6.533333, 49.44167, 50.19167 (xmin, xmax, ymin, ymax)
coord. ref. : lon/lat WGS 84 (EPSG:4326)
source(s) : memory
name : lyr.1
min value : 141
max value : 547
cat(crs(r_sp_rt), "\n")
GEOGCRS["unknown",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]],
ID["EPSG",6326]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8901]],
CS[ellipsoidal,2],
AXIS["longitude",east,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]],
AXIS["latitude",north,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433,
ID["EPSG",9122]]]]
</code></pre></div></div>
<p>Since spatial objects can be readily coerced between modern packages and
<code class="language-plaintext highlighter-rouge">sp</code>, input/output can be handled using the modern packages, making
<code class="language-plaintext highlighter-rouge">rgdal</code> redundant.</p>
<h1 id="deprecation-steps">Deprecation steps</h1>
<p>Functions and methods showing more usage from the <code class="language-plaintext highlighter-rouge">pkgapi</code> analysis in
the retiring packages are being deprecated. Deprecation uses the
<code class="language-plaintext highlighter-rouge">.Deprecated()</code> function in base R, which prints a message pointing to
alternatives and issuing a warning of class <code class="language-plaintext highlighter-rouge">"deprecatedWarning"</code>.
<code class="language-plaintext highlighter-rouge">rgdal</code> <code class="language-plaintext highlighter-rouge">>= 1.6-2</code>, <code class="language-plaintext highlighter-rouge">rgeos</code> <code class="language-plaintext highlighter-rouge">>= 0.6-1</code> and <code class="language-plaintext highlighter-rouge">maptools</code> <code class="language-plaintext highlighter-rouge">>= 1.1-6</code> now
have larger numbers of such deprecation warnings. Deprecation warnings
do not lead to CRAN package check result warnings, so do not trigger
archiving notices from CRAN, but can and do trip up
<code class="language-plaintext highlighter-rouge">testthat::expect_silent()</code> and similar unit tests.</p>
<h1 id="moderate-progress-in-de-coupling-packages">Moderate progress in de-coupling packages</h1>
<p>There has been some progress in reducing package reverse dependency
counts between January 2022 and early March 2023:</p>
<p><img src="/images/evolution3.png" width="100%" />
Some of the <code class="language-plaintext highlighter-rouge">maptools</code> recursive strong reduction are by archiving,
others as other popular packages like <code class="language-plaintext highlighter-rouge">car</code> have dropped <code class="language-plaintext highlighter-rouge">maptools</code> as a
strong dependency. <code class="language-plaintext highlighter-rouge">maptools::pointLabel()</code> is deprecated and is now
<code class="language-plaintext highlighter-rouge">car::pointLabel()</code> (and
<a href="https://github.com/sdray/adegraphics/issues/13">https://github.com/sdray/adegraphics/issues/13</a>), and adapted functions
based on these were deprecated as in
<a href="https://github.com/oscarperpinan/rastervis/issues/93">https://github.com/oscarperpinan/rastervis/issues/93</a>. In addition,
almost 70 packages with strong dependencies on retiring packages through
<code class="language-plaintext highlighter-rouge">raster</code> in early 2023, now pass check without retiring packages on the
library path and <code class="language-plaintext highlighter-rouge">sp</code> evolution status <code class="language-plaintext highlighter-rouge">2L</code>.</p>
<h1 id="reverse-depencency-checks-2023-03-22">Reverse depencency checks 2023-03-22</h1>
<p>Reverse dependency checks on CRAN and Bioconductor packages “most”
depending on retiring packages shows that 7 fail for <code class="language-plaintext highlighter-rouge">sp</code> evolution
status <code class="language-plaintext highlighter-rouge">2</code>, of these some fail anyway. This implies that we can move to
shift <code class="language-plaintext highlighter-rouge">sp</code> evolution status default from <code class="language-plaintext highlighter-rouge">0</code> to <code class="language-plaintext highlighter-rouge">2</code> in June as planned.
Of the total of 729 packages checked, 293 fail with <code class="language-plaintext highlighter-rouge">sp</code> evolution
status <code class="language-plaintext highlighter-rouge">2</code> when the retiring packages are not on the library path. As
noted in the CSDS talk in mid-January, package maintainers contacted by
github issue seem to be much more responsive than other maintainers, so
work from April will concentrate on opening github issues for the 293
packages where possible, and adding to issues already opened, referring
to this document to give tips on how to migrate away from retiring
packages.</p>
<h2 id="references">References</h2>
<p>Bivand, Roger S., Edzer Pebesma, and Virgilio Gomez-Rubio. 2013.
<em>Applied Spatial Data Analysis with R, Second Edition</em>. Springer, NY.
<a href="https://asdar-book.org/">https://asdar-book.org/</a>.</p>
<p>Hijmans, Robert J. 2023a. <em><span class="nocase">raster</span>:
Geographic Data Analysis and Modeling</em>.
<a href="https://cran.r-project.org/package=raster">https://cran.r-project.org/package=raster</a>.</p>
<p>———. 2023b. <em><span class="nocase">terra</span>: Spatial Data Analysis</em>.
<a href="https://cran.r-project.org/package=terra">https://cran.r-project.org/package=terra</a>.</p>
<p>Pebesma, Edzer. 2018. “<span class="nocase">Simple Features for R:
Standardized Support for Spatial Vector Data</span>.” <em>The R Journal</em> 10
(1): 439–46. <a href="https://doi.org/10.32614/RJ-2018-009">https://doi.org/10.32614/RJ-2018-009</a>.</p>
<p>———. 2022. <em><span class="nocase">stars</span>: Spatiotemporal Arrays,
Raster and Vector Data Cubes</em>.
<a href="https://CRAN.R-project.org/package=stars">https://CRAN.R-project.org/package=stars</a>.</p>
<p>———. 2023. <em><span class="nocase">sf</span>: Simple Features for R</em>.
<a href="https://cran.r-project.org/package=sf">https://cran.r-project.org/package=sf</a>.</p>
Roger Bivand, Edzer Pebesma
Progress on R-spatial evolution, Dec 2022
2022-12-14T00:00:00+00:00
https://www.r-spatial.org//r/2022/12/14/evolution2.html
<ul id="markdown-toc">
<li><a href="#package-dependency-tables" id="markdown-toc-package-dependency-tables">Package dependency tables</a></li>
<li><a href="#sp-evolution-status" id="markdown-toc-sp-evolution-status"><code class="language-plaintext highlighter-rouge">sp</code> evolution status</a></li>
<li><a href="#using-spdep-as-a-testbed" id="markdown-toc-using-spdep-as-a-testbed">Using <code class="language-plaintext highlighter-rouge">spdep</code> as a testbed</a></li>
<li><a href="#deprecations-in-retiring-packages" id="markdown-toc-deprecations-in-retiring-packages">Deprecations in retiring packages</a></li>
<li><a href="#script-analysis-from-the-dataverse-project" id="markdown-toc-script-analysis-from-the-dataverse-project">Script analysis from The Dataverse Project</a></li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2022-12-12-evolution2.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>:</p>
<p>This is the second report on the <a href="https://github.com/r-spatial/evolution">R-spatial
evolution</a> project. The project
involves the retirement (archiving) of <code class="language-plaintext highlighter-rouge">rgdal</code>, <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">maptools</code>
during 2023. The <a href="https://r-spatial.org/r/2022/04/12/evolution.html">first
report</a> set out the
main goals of the project. Here we report on progress so far, steps
already taken, and those remaining to be accomplished. We feel that
anyone planning training or teaching for the Northen hemisphere Fall
semester/term should plan to have ceased using the retiring packages
before work begins after the summer; <code class="language-plaintext highlighter-rouge">sp</code> will use <code class="language-plaintext highlighter-rouge">sf</code> for functions
previously using retiring packages in June 2023.</p>
<h1 id="package-dependency-tables">Package dependency tables</h1>
<p>While <a href="https://github.com/r-lib/pkgapi"><code class="language-plaintext highlighter-rouge">pkgapi</code></a> states that it is a
work-in-progress, for our purposes it is very useful. We have run a
number of checks to determine which reverse dependency packages (of type
<code class="language-plaintext highlighter-rouge">"most"</code>, which implies <code class="language-plaintext highlighter-rouge">"Depends:"</code>, <code class="language-plaintext highlighter-rouge">"Imports:"</code>, <code class="language-plaintext highlighter-rouge">"LinkingTo:"</code> or
<code class="language-plaintext highlighter-rouge">"Suggests:"</code>) use functions and methods from R packages <code class="language-plaintext highlighter-rouge">rgdal</code>,
<code class="language-plaintext highlighter-rouge">rgeos</code>, or <code class="language-plaintext highlighter-rouge">maptools</code>. The
<a href="https://r-spatial.github.io/evolution/report.html">results</a> from runs
for each package in mid-August showed that <code class="language-plaintext highlighter-rouge">raster</code> used 34 functions or
methods in <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code>, <code class="language-plaintext highlighter-rouge">ursa</code> used 28, and <code class="language-plaintext highlighter-rouge">FIESTAutils</code> 15. In
early December, an updated
<a href="https://r-spatial.github.io/evolution/report_221207.html">report</a> shows
that <code class="language-plaintext highlighter-rouge">raster</code> package from <code class="language-plaintext highlighter-rouge">3.6-3</code> uses <code class="language-plaintext highlighter-rouge">terra</code> instead of <code class="language-plaintext highlighter-rouge">rgdal</code> and
<code class="language-plaintext highlighter-rouge">rgeos</code> to access the external OSGeo FOSS libraries PROJ, GDAL and GEOS.</p>
<p>This also means that all packages that depend on or import from
<code class="language-plaintext highlighter-rouge">raster</code>, and added a weak dependency on <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code> for that
reason, may now drop those dependencies, conditional on requiring
<code class="language-plaintext highlighter-rouge">raster</code> of version <code class="language-plaintext highlighter-rouge">>= 3.6-3</code>. In recent tests,it seems that of the 248
packages depending on <code class="language-plaintext highlighter-rouge">raster</code> and at least one of the retiring
packages, 102 use retiring package code in their own code as found by
<code class="language-plaintext highlighter-rouge">pkgapi</code>, but 146 do not. The maintainers of the 248 packages are being
contacted by email or github issue. Maintainers of packages originally
depending on retiring packages because <code class="language-plaintext highlighter-rouge">raster</code> did so, are encouraged
to drop the now redundant dependencies as soon as possible. Since
<code class="language-plaintext highlighter-rouge">terra</code> is by definition available to packages using <code class="language-plaintext highlighter-rouge">raster</code>, it seems
sensible to replace in examples the deprecated <code class="language-plaintext highlighter-rouge">rgdal::readOGR()</code> with
<code class="language-plaintext highlighter-rouge">terra::vect()</code>, and similarly for other methods and functions.</p>
<p>We have raised Github issues with
<a href="https://github.com/nplatonov/ursa/issues/1"><code class="language-plaintext highlighter-rouge">ursa</code></a> and
<a href="https://github.com/USDAForestService/FIESTAutils/issues/3"><code class="language-plaintext highlighter-rouge">FIESTAutils</code></a>,
but will take no further steps as these packages are not used by other
packages with other maintainers.</p>
<h1 id="sp-evolution-status"><code class="language-plaintext highlighter-rouge">sp</code> evolution status</h1>
<p>As mentioned in our first report, <code class="language-plaintext highlighter-rouge">sp</code> on CRAN has been provided with
conditional code that prevents <code class="language-plaintext highlighter-rouge">sp</code> calling most code in <code class="language-plaintext highlighter-rouge">rgdal</code> or
<code class="language-plaintext highlighter-rouge">rgeos</code>. This can be enabled <em>before</em> loading <code class="language-plaintext highlighter-rouge">sp</code> by setting e.g.:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>options("sp_evolution_status"=2)
library(sp)
</code></pre></div></div>
<p>for checking packages under status</p>
<ul>
<li><code class="language-plaintext highlighter-rouge">0</code>: business as usual,</li>
<li><code class="language-plaintext highlighter-rouge">1</code>: stop if <code class="language-plaintext highlighter-rouge">rgdal</code> or <code class="language-plaintext highlighter-rouge">rgeos</code> are absent, or</li>
<li><code class="language-plaintext highlighter-rouge">2</code>: use <code class="language-plaintext highlighter-rouge">sf</code> instead of <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code></li>
</ul>
<p>or alternatively can be set as an environment variable read when <code class="language-plaintext highlighter-rouge">sp</code> is
loaded, e.g. when running checks from the command line by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>_SP_EVOLUTION_STATUS_=2 R CMD check
</code></pre></div></div>
<p>Some months before the retiring packages are archived, we will flip <code class="language-plaintext highlighter-rouge">sp</code>
from loading assuming business-as-usual to assuming the use of <code class="language-plaintext highlighter-rouge">sf</code>
instead of <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code> (evolution status <code class="language-plaintext highlighter-rouge">2</code>) where that is
possible. For this, <strong>we target June 2023</strong>, with a dry run and bulk
emails in April and May 2023.</p>
<h1 id="using-spdep-as-a-testbed">Using <code class="language-plaintext highlighter-rouge">spdep</code> as a testbed</h1>
<p>In connection with a release of <code class="language-plaintext highlighter-rouge">spdep</code> (maintained by Roger Bivand),
maintainers of packages depending on <code class="language-plaintext highlighter-rouge">spdep</code> and strongly depending on
one or more retiring package were contacted by email in early October to
advise action. The packages were detected by running reverse dependency
checks without retiring packages present in the R library path. The 27
affected packages were:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>adespatial*, AGPRIS, BayesX, bfsMaps, expp, FRK, gamlss.spatial, GeNetIt,
geocmeans*, Guerry*, gwer, GWmodel, LabourMarketAreas, latticeDensity,
leastcostpath, meteoland, micromapST, OasisR, PReMiuM*, ref.ICAR,
rflexscan, SegEnvIneq, spatialEco*, SpatialEpi, spmoran, stampr,
tipsae
</code></pre></div></div>
<p>These are being monitored to gauge how rapidly upgrades occur as a
response to a bulk email; there were a fair number of replies to the
email. The email concluded:</p>
<blockquote>
<p>Of course, your use of the retiring packages that I’ve maintained for
many years has been a source of great satisfaction, but now it is time
to move on.</p>
</blockquote>
<p>In a linked exchange (the <code class="language-plaintext highlighter-rouge">Guerry</code> package), <code class="language-plaintext highlighter-rouge">maptools::pointLabel()</code> is
deprecated and is now <code class="language-plaintext highlighter-rouge">car::pointLabel()</code>, and adapted functions based
on these were deprecated as in
<a href="https://github.com/oscarperpinan/rastervis/issues/93">https://github.com/oscarperpinan/rastervis/issues/93</a>.</p>
<p>As of mid-December 2022, 98 CRAN packages depended (of type <code class="language-plaintext highlighter-rouge">"most"</code>) on
<code class="language-plaintext highlighter-rouge">spdep</code> when running reverse dependency checks on <code class="language-plaintext highlighter-rouge">spdep 1.2-8</code>. None
failed <code class="language-plaintext highlighter-rouge">_SP_EVOLUTION_STATUS_=0 R CMD check</code> when the retiring packages
were on the R library path; five packages marked with stars no longer
failed <code class="language-plaintext highlighter-rouge">_SP_EVOLUTION_STATUS_=0 R CMD check</code> without retiring packages
on the R library path in mid-December 2022. Three new reverse
dependencies had appeared at that point, of which <code class="language-plaintext highlighter-rouge">SpatialRegimes</code> and
<code class="language-plaintext highlighter-rouge">SUNGEO</code> failed irrespective of evolution status (indirect dependencies
via <code class="language-plaintext highlighter-rouge">automap</code> and <code class="language-plaintext highlighter-rouge">GWmodel</code> respectively), and <code class="language-plaintext highlighter-rouge">geomerge</code> passed for
<code class="language-plaintext highlighter-rouge">_SP_EVOLUTION_STATUS_=2</code>.</p>
<p><code class="language-plaintext highlighter-rouge">gamlss.spatial</code>, <code class="language-plaintext highlighter-rouge">latticedensity</code>, <code class="language-plaintext highlighter-rouge">spmoran</code> and <code class="language-plaintext highlighter-rouge">tipsae</code> could be
fixed easily by conditioning on package availability in examples or
vignettes.</p>
<p>Of these packages, only <code class="language-plaintext highlighter-rouge">BayesX</code>, <code class="language-plaintext highlighter-rouge">bfsMaps</code>, <code class="language-plaintext highlighter-rouge">expp</code>, <code class="language-plaintext highlighter-rouge">FRK</code>,
<code class="language-plaintext highlighter-rouge">leastcostpath</code>, <code class="language-plaintext highlighter-rouge">micromapST</code>, <code class="language-plaintext highlighter-rouge">OasisR</code>, <code class="language-plaintext highlighter-rouge">ref.ICAR</code>, <code class="language-plaintext highlighter-rouge">SegEnvIneq</code>,
<code class="language-plaintext highlighter-rouge">SpatialEpi</code> and <code class="language-plaintext highlighter-rouge">stampr</code> actually use functions or methods from
retiring packages in code rather than examples or vignettes. Among the
most used are <code class="language-plaintext highlighter-rouge">maptools::unionSpatialPolygons()</code>, <code class="language-plaintext highlighter-rouge">rgeos::readWKT()</code> and
<code class="language-plaintext highlighter-rouge">rgdal::readOGR</code>.</p>
<h1 id="deprecations-in-retiring-packages">Deprecations in retiring packages</h1>
<p>Functions and methods in retiring packages that are often used in code
in reverse dependencies have now been deprecated (<code class="language-plaintext highlighter-rouge">rgdal_1.6-2</code>,
<code class="language-plaintext highlighter-rouge">maptools_1.1-5</code>, <code class="language-plaintext highlighter-rouge">rgeos_0.6-1</code>). These deprecations lead to more visual
noise and hopefully irritation, drawing maintainer and user attention to
the need for expeditious upgrading away from retiring packages.
Occasionally the deprecations break <code class="language-plaintext highlighter-rouge">testthat::expect_silent()</code>
invocations, again serving a useful purpose.</p>
<p>For guidance, the <code class="language-plaintext highlighter-rouge">NAMESPACE</code> files in the retiring packages have been
commented extensively, naming the packages using exported functions and
methods from the <code class="language-plaintext highlighter-rouge">pkgapi</code> runs in mid-August
(<a href="https://r-forge.r-project.org/scm/viewvc.php/pkg/NAMESPACE?view=markup&root=rgdal"><code class="language-plaintext highlighter-rouge">rgdal</code></a>,
<a href="https://r-forge.r-project.org/scm/viewvc.php/pkg/NAMESPACE?view=markup&root=maptools"><code class="language-plaintext highlighter-rouge">maptools</code></a>,
<a href="https://r-forge.r-project.org/scm/viewvc.php/pkg/NAMESPACE?view=markup&root=rgeos"><code class="language-plaintext highlighter-rouge">rgeos</code></a>).</p>
<p>It may seem unusual that the retiring packages are maintained under SVN
on R-Forge, but the decision not to migrate to Github was taken years
ago when R-spatial development was being reviewed. New packages, and
packages seen as having development potential were moved to Github,
while others without development potential were left on R-Forge under
SVN to discourage user contributions.</p>
<h1 id="script-analysis-from-the-dataverse-project">Script analysis from The Dataverse Project</h1>
<p>In <a href="https://arelbundock.com/dataverse_r_pkgs.html">https://arelbundock.com/dataverse_r_pkgs.html</a>, an analysis of some
19,000 scripts in 4500 projects is reported. Packages used included
<code class="language-plaintext highlighter-rouge">rgdal</code>: 213 projects, <code class="language-plaintext highlighter-rouge">rgeos</code>: 115 projects, <code class="language-plaintext highlighter-rouge">maptools</code>: 168 projects;
for comparison, <code class="language-plaintext highlighter-rouge">sf</code>: 144 projects, <code class="language-plaintext highlighter-rouge">sp</code>: 143 projects, <code class="language-plaintext highlighter-rouge">raster</code>: 105
projects. Standard reproducible script mechanisms will be feasible for
source installs of the retiring packages from R-Forge for the
foreseeable future, and from the CRAN archives. Binary installs for
MacOS and Windows may cease to work for <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code> because they
link to static builds of external libraries, but for example
<code class="language-plaintext highlighter-rouge">src/Makevars.ucrt</code> files often need updating to add links to libraries
required by <code class="language-plaintext highlighter-rouge">GDAL</code> as it evolves; <code class="language-plaintext highlighter-rouge">rgeos</code> links to <code class="language-plaintext highlighter-rouge">GEOS</code>, but <code class="language-plaintext highlighter-rouge">GEOS</code>
does not link further, so is less of a problem. For <code class="language-plaintext highlighter-rouge">rgdal</code>,
<code class="language-plaintext highlighter-rouge">src/Makevars.ucrt</code> on the SVN repository will be frozen at <code class="language-plaintext highlighter-rouge">GDAL</code>
<code class="language-plaintext highlighter-rouge">3.6.1</code> for R <code class="language-plaintext highlighter-rouge">4.3</code>.</p>
Edzer Pebesma, Florian Lahn, Huriel Reichel, Peter Zellner, Basil Tufail, Matthias Mohr
Processing large scale satellite imagery with openEO Platform and R
2022-11-24T00:00:00+00:00
https://www.r-spatial.org//r/2022/11/24/openeo.html
<ul id="markdown-toc">
<li><a href="#openeo" id="markdown-toc-openeo">openEO</a> <ul>
<li><a href="#from-image-collection-to-data-cube" id="markdown-toc-from-image-collection-to-data-cube">From image collection to data cube</a></li>
</ul>
</li>
<li><a href="#sample-session" id="markdown-toc-sample-session">Sample session</a></li>
<li><a href="#batch-jobs" id="markdown-toc-batch-jobs">Batch jobs</a></li>
<li><a href="#further-reading" id="markdown-toc-further-reading">Further reading</a></li>
<li><a href="#upcoming" id="markdown-toc-upcoming">Upcoming…</a></li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2022-03-16-openeo.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>: <a href="https://openeo.org">openEO</a> is an open source,
community-based API for cloud-based processing of Earth Observation
data. This blog introduces the R openeo client, and demonstrates a
sample analysis using the <a href="https://openeo.cloud">openEO Platform</a> for
processing.</p>
<h2 id="openeo">openEO</h2>
<p>OpenEO is an open source project that tries to make large-scale,
cloud-based satellite image processing easier and more open. This blog
post shows how the openEO client, available from
<a href="https://cran.r-project.org/package=openeo">CRAN</a> and with online
documentation <a href="https://open-eo.github.io/openeo-r-client/">here</a>, can be
used to explore datasets, compute on them, and download results.</p>
<h4 id="from-image-collection-to-data-cube">From image collection to data cube</h4>
<p>Image collections are collections of satellite images that are all
processed in a uniform way. They are typically organized in tiles (or
granules): raster files with all pixels obtained over an area observed
in a single overpass of the satellite. Satellite image analysis often
involves the analysis of a large number of tiles, obtained from
different overpasses. The concept of <em>data cubes</em> makes it easier to
analyse such data: a user defines the spatial extent and resolution, and
the temporal extent and resolution, and all data is then reprocessed
(aggregated) into the regular space and time resolutions. Cloud
platforms such as openEO let the user define a data cube, and reprocess
the data into this form before the final analysis steps are done. More
explanation about datacubes in openEO is found
<a href="https://openeo.org/documentation/1.0/datacubes.html">here</a>. The sample
session below involves</p>
<ul>
<li>selecting an image collection, along with spatial and temporal
extents</li>
<li>selecting spectral bands</li>
<li>reducing the spectral dimension by computing a single index</li>
<li>aggregating the tiles to monthly median values</li>
<li>downloading and plotting the resulting image time series</li>
</ul>
<h2 id="sample-session">Sample session</h2>
<p>An openEO session is started with loading the library, connecting to a
back-end (here: <a href="https://openeo.cloud">openeo.cloud</a>), and
authenticating with the back-end:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(openeo)
con = connect("openeo.cloud")
login()
</code></pre></div></div>
<p>The login will prompt for an authentication ID which can come from your
organisation, or an openID-based mechanism such as google or GitHub. For
loggin on you need an account on the back-end, as cloud computing in
general is not a free resource. The <a href="https://openeo.cloud">openeo.cloud</a>
website has instructions on how to apply for a (ESA-) sponsored account
with limited compute credits.</p>
<p>When these commands were carried out, and you are using RStudio as an
IDE, RStudio will show an overview of the image collections available on
this backend, which looks like this:</p>
<p><img src="/images/collections.png" alt="" /></p>
<p>and which can help search for a particular collection. A more extensive
viewer of the data collections is obtained in RStudio by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>collection_viewer()
</code></pre></div></div>
<p>which opens a view window like this:</p>
<p><img src="/images/collection_viewer.png" alt="" /></p>
<p>The same view is obtained online using <a href="https://docs.openeo.cloud/data-collections/">this
link</a>. The set of image
collections can also be obtained programmatically by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>collections = list_collections(con)
names(collections) |> head()
## [1] "SENTINEL1_GRD_SIGMA0" "S1_GRD_SIGMA0_ASCENDING"
## [3] "S1_GRD_SIGMA0_DESCENDING" "TERRASCOPE_S2_FAPAR_V2"
## [5] "TERRASCOPE_S2_NDVI_V2" "TERRASCOPE_S2_LAI_V2"
length(collections)
## [1] 77
</code></pre></div></div>
<p>which can then be further processed in R.</p>
<p>We will work with Sentinel level 2A data, available in the collection</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>collection = "SENTINEL2_L2A"
coll_meta = describe_collection(collection)
names(coll_meta)
## [1] "cube:dimensions" "description" "extent" "id"
## [5] "keywords" "license" "links" "providers"
## [9] "stac_extensions" "stac_version" "summaries" "title"
</code></pre></div></div>
<p>information about the names and extents of data cube dimensions is for
instance obtained by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>coll_meta$`cube:dimensions`
## Dimension: bands
## Type: bands
## Values: [B01,B02,B03,B04,B05,B06,B07,B08,B8A,B11,B12,SCL,relativeAzimuthAngles,sunZenithAngles,viewZenithAngles,B09,AOT,SNW,CLD,CLP,CLM,sunAzimuthAngles,viewAzimuthMean,viewZenithMean,dataMask]
##
## Dimension: t
## Type: temporal
## Extent: [2015-07-06T00:00:00Z,NULL]
##
## Dimension: x
## Type: spatial
## Axis: x
## Extent: [-180,180]
##
## Dimension: y
## Type: spatial
## Axis: y
## Extent: [-56,83]
</code></pre></div></div>
<p>Next select a spatial region, a set of spectral bands and a time period
to work on, by specifying a few R objects:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(sf)
## Linking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.1; sf_use_s2() is TRUE
bbox = st_bbox(c(xmin = 7, xmax = 7.01, ymin = 52, ymax = 52.01), crs = 'EPSG:4326')
bands = c("B04", "B08")
time_range = list("2018-01-01", "2019-01-01")
</code></pre></div></div>
<p>We can then start building a process graph, the object that contains the
work to be done on the back-end side. First we load the available
processes from the back-end:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>p = openeo::processes(con)
</code></pre></div></div>
<p>The object <code class="language-plaintext highlighter-rouge">p</code> now contains the processes available on the backend we
are using, and is used to define further tasks. We can explore the
available processes by viewing them with</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>process_viewer()
</code></pre></div></div>
<p>which is shown below, or browse them online
<a href="https://docs.openeo.cloud/processes/">here</a>.</p>
<p><img src="/images/process_viewer.png" alt="" /></p>
<p>We can constrain the image collection that we want to work on by its
name, extents in space and time, and bands (if no constraints are given,
the full extent is used). Using a member function of <code class="language-plaintext highlighter-rouge">p</code> here guarantees
that we do not use processes not available on the back-end:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>data = p$load_collection(id = collection,
spatial_extent = bbox,
temporal_extent = time_range,
bands = bands)
</code></pre></div></div>
<p>We will compute NDVI, <a href="https://en.wikipedia.org/wiki/Normalized_difference_vegetation_index">normalized differenced vegetation
index</a>,
from the two selected bands, and use the NDVI function in
<code class="language-plaintext highlighter-rouge">reduce_dimension</code> to reduce dimension <code class="language-plaintext highlighter-rouge">bands</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>ndvi = function(data, context) {
red = data[1]
nir = data[2]
(nir-red)/(nir+red)
}
calc_ndvi = p$reduce_dimension(data = data,
dimension = "bands",
reducer = ndvi)
</code></pre></div></div>
<p>Although <code class="language-plaintext highlighter-rouge">ndvi</code> is defined as an R function, in effect the <code class="language-plaintext highlighter-rouge">openeo</code> R
client translates this function into openEO native processes. This
cannot be done with arbitrarily complex functions, and passing on R
functions to be processed by an R instance in the back-end is done using
<em>user-defined functions</em>, the topic of a future blog post.</p>
<p>We will now process the NDVI values into a data cube with monthly
values, by picking for each pixel the median value of all pixels over
the month (Sentinel-2 has an image for roughly every 5 days). This is
done by <code class="language-plaintext highlighter-rouge">aggregate_temporal_period</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>temp_period = p$aggregate_temporal_period(data = calc_ndvi, period = "month",
reducer = function(data, context){p$median(data)},
dimension = "t")
</code></pre></div></div>
<p>Finally, we can define how we want to save results (which file format),
by the <code class="language-plaintext highlighter-rouge">save_result</code> process</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>result = p$save_result(data = temp_period, format="NetCDF")
</code></pre></div></div>
<p>and request the results synchronously by <code class="language-plaintext highlighter-rouge">compute_results</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code># synchronous:
compute_result(result, format = "NetCDF", output_file = "ndvi.nc", con = con)
## [1] "ndvi.nc"
</code></pre></div></div>
<p>All commands before <code class="language-plaintext highlighter-rouge">compute_result()</code> can be executed without
authentification; only <code class="language-plaintext highlighter-rouge">compute_result</code> asks for “real” computations on
imagery, and requires authentication, so that the compute costs can be
accounted for.</p>
<p><code class="language-plaintext highlighter-rouge">compute_result</code> downloads the file locally, and we can now import it
and plot it either by e.g. <code class="language-plaintext highlighter-rouge">ggplot2</code></p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(stars)
## Loading required package: abind
r = read_stars("ndvi.nc")
library(ggplot2)
ggplot() + geom_stars(data = r) +
facet_wrap(~t) + coord_equal() +
theme_void() +
scale_x_discrete(expand = c(0,0)) +
scale_y_discrete(expand = c(0,0)) +
scale_fill_viridis_c()
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/openeo_figs-1.png" alt="" /></p>
<p>or by <code class="language-plaintext highlighter-rouge">mapview</code> (where the “real” mapview obviously gives an interactive
plot):</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(mapview)
mapview(r)
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/openeo_fig_mapview-1.png" alt="" /></p>
<h2 id="batch-jobs">Batch jobs</h2>
<p>The example above was deliberately kept very small; for larger jobs the
synchronous call to <code class="language-plaintext highlighter-rouge">compute_result</code> will time out, and a batch job can
be started with</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>job = create_job(graph = result, title = "ndvi.nc", description = "ndvi 2018")
start_job(job = job) # use the id of the job (job$id) to start the job
job_list = list_jobs() # here you can see all your jobs and their status
status(job)
</code></pre></div></div>
<p>The returned status is either <code class="language-plaintext highlighter-rouge">queued</code>, <code class="language-plaintext highlighter-rouge">running</code>, <code class="language-plaintext highlighter-rouge">error</code> or
<code class="language-plaintext highlighter-rouge">finished</code>. When it is finished, then results can be downloaded by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>dwnld = download_results(job = job, folder = "./")
</code></pre></div></div>
<p>In case the status is <code class="language-plaintext highlighter-rouge">error</code>, error logs are obtained by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>logs(job = job)
</code></pre></div></div>
<h2 id="further-reading">Further reading</h2>
<p>The <a href="https://cran.r-project.org/package=openeo">CRAN landing page</a> has
six (6!) vignettes on getting started, sample data retrieval,
architecture, process graph building, and implementation details.</p>
<h2 id="upcoming">Upcoming…</h2>
<p>The use of R functions that can be <em>sent</em> to the back-end and executed
there by an R engine is under development. This is a big milestone, as
it would provide arbitrary R functionality (given that arbitrary R
packages would also be provided by the back-end), and is something that
for instance Google Earth Engine can not provide. The current form in
which this works is still a bit user-unfriendly (for the curious:
examples are found in <a href="https://github.com/Open-EO/r4openeo-usecases">this
repo</a>, and contain still a
mix of Python and R code). When this has been cleaned up and undergone
more testing it will be the topic of a follow-up blog post.</p>
Edzer Pebesma
Reading Zarr files with R package stars
2022-09-13T00:00:00+00:00
https://www.r-spatial.org//r/2022/09/13/zarr.html
<ul id="markdown-toc">
<li><a href="#what-is-zarr" id="markdown-toc-what-is-zarr">What is Zarr?</a></li>
<li><a href="#aggregating-global-precipitation-time-series-to-countries" id="markdown-toc-aggregating-global-precipitation-time-series-to-countries">Aggregating global precipitation time series to countries</a> <ul>
<li><a href="#50m-natural-earth-country-boundaries" id="markdown-toc-50m-natural-earth-country-boundaries">50m natural Earth country boundaries</a></li>
</ul>
</li>
<li><a href="#simple-aggregation" id="markdown-toc-simple-aggregation">simple aggregation</a></li>
<li><a href="#cmip6-data" id="markdown-toc-cmip6-data">CMIP6 data</a> <ul>
<li><a href="#reading-sub-arrays-or-strided-arrays" id="markdown-toc-reading-sub-arrays-or-strided-arrays">Reading sub-arrays or strided arrays</a></li>
<li><a href="#using-the-classic-gdal-raster-api" id="markdown-toc-using-the-classic-gdal-raster-api">Using the classic GDAL raster API</a></li>
</ul>
</li>
<li><a href="#software-versions" id="markdown-toc-software-versions">Software versions</a></li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2022-09-13-zarr.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>: Zarr files are the new cloud native NetCDF, and are here to
stay. This blog post will explore how they can be read in R using the
GDAL “classic” raster API and the (relatively) new GDAL multidimensional
array API, and how we can read sub-arrays or strided (subsampled, lower
resolution) arrays. CMIP6 data is being released as Zarr data on the
Google Cloud.</p>
<h2 id="what-is-zarr">What is Zarr?</h2>
<p><code class="language-plaintext highlighter-rouge">Zarr</code> is a data format; it does not come in a single file as <code class="language-plaintext highlighter-rouge">NetCDF</code>
or <code class="language-plaintext highlighter-rouge">HDF5</code> does but as a directory with chunks of data in compressed
files and metadata in JSON files. Zarr was developed in the Python numpy
and xarray communities, and was quickly taken up by the Pangeo
community. A Python-independent specification of Zarr (in progress, V3)
is found <a href="https://zarr-specs.readthedocs.io/en/latest/">here</a>.</p>
<p><a href="https://gdal.org/">GDAL</a> has a <a href="https://gdal.org/drivers/raster/zarr.html">Zarr
driver</a>, and can read single
(spatial, raster) slices without time reference through its classic
<a href="https://gdal.org/api/index.html#raster-api">raster API</a>, and full
time-referenced arrays through its newer <a href="https://gdal.org/api/index.html#multi-dimensional-array-api">multidimensional array
API</a>. In
this blog post we show how these can be used through R and package
<a href="https://r-spatial.github.io/stars">stars</a> for raster and <a href="https://r-spatial.org/r/2022/09/12/vdc.html">vector data
cubes</a>. We will start with
an attempt to reproduce what <a href="https://twitter.com/rabernat">Ryan
Abernathey</a> did with Python, xarray and
geopandas, published
<a href="https://discourse.pangeo.io/t/conservative-region-aggregation-with-xarray-geopandas-and-sparse/2715">here</a>.</p>
<h2 id="aggregating-global-precipitation-time-series-to-countries">Aggregating global precipitation time series to countries</h2>
<p>Ryan’s blog post aggregates a global, 1-degree “square” gridded daily
precipitation dataset (NASA GPCP) to country values, where the
aggregation should be weighted according to the amount of overlap of
grid cells (as “square” polygons) and country polygons.</p>
<p>We can read the rainfall data in R using</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(stars)
## Loading required package: abind
## Loading required package: sf
## Linking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.0; sf_use_s2() is TRUE
dsn = 'ZARR:"/vsicurl/https://ncsa.osn.xsede.org/Pangeo/pangeo-forge/gpcp-feedstock/gpcp.zarr"'
bounds = c(longitude = "lon_bounds", latitude = "lat_bounds")
r = read_mdim(dsn, bounds = bounds)
r
## stars object with 3 dimensions and 1 attribute
## attribute(s), summary of first 1e+05 cells:
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## precip [mm/d] 0 0 0 2.2841 1.618025 103.5965
## dimension(s):
## from to offset delta refsys point values x/y
## longitude 1 360 0 1 NA NA NULL [x]
## latitude 1 180 -90 1 NA NA NULL [y]
## time 1 9226 NA NA POSIXct NA 1996-10-01,...,2021-12-31
st_bbox(r)
## xmin ymin xmax ymax
## 0 -90 360 90
r[r < 0 | r > 100] = NA
</code></pre></div></div>
<p>where</p>
<ul>
<li>the dsn is constructed such that GDAL knows this is a Zarr file
(<code class="language-plaintext highlighter-rouge">ZARR:</code>) and that it is a web resource (<code class="language-plaintext highlighter-rouge">/vsicurl/</code>).</li>
<li>we specify the bounds because the <code class="language-plaintext highlighter-rouge">latitude</code> and <code class="language-plaintext highlighter-rouge">longitude</code>
variables do not have a <code class="language-plaintext highlighter-rouge">bounds</code> attribute pointing to the cell
boundaries, and their values do not point to grid cell centers (as
recommended but not required by <a href="https://cfconventions.org/Data/cf-conventions/cf-conventions-1.10/cf-conventions.html#coordinate-types">CF
1.10</a>),
but to boundaries</li>
<li>the Zarr has no CRS, so that R wouldn’t know these are ellipsoidal
coordinates; without action it would then assume they are Cartesian
coordinates (as geopandas does); we will correct this later on</li>
<li>values below 0 and above 100 are set to <code class="language-plaintext highlighter-rouge">NA</code>; this is according to
the <code class="language-plaintext highlighter-rouge">valid_range</code> attribute for the <code class="language-plaintext highlighter-rouge">precip</code> variable, but not
automatically parsed</li>
<li><code class="language-plaintext highlighter-rouge">time</code> does not have an offset/delta pair, indicating it is not
regular; there seem to be a few duplicate time steps, we can
identify them by</li>
</ul>
<!-- -->
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>time(r) |> diff() |> table()
##
## 0 86400
## 3 9222
ti = time(r)
ti[which(diff(ti) == 0)]
## [1] "2017-08-01 UTC" "2017-11-01 UTC" "2018-04-01 UTC"
</code></pre></div></div>
<h3 id="50m-natural-earth-country-boundaries">50m natural Earth country boundaries</h3>
<p>We can load the 50m NE Country boundaries from the <code class="language-plaintext highlighter-rouge">rnaturalearth</code>
package:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(rnaturalearth)
ne = ne_countries(scale = 50, returnclass = "sf")
st_crs(r) = st_crs(ne)
ne = st_make_valid(ne)
</code></pre></div></div>
<p>where</p>
<ul>
<li>we set the CRS of the precipitation data cube, equal to that of NE
(WGS84)</li>
<li>we call <code class="language-plaintext highlighter-rouge">st_make_valid()</code> to make the country boundaries <a href="https://r-spatial.org/book/04-Spherical.html#validity-on-the-sphere">valid <em>on
the
sphere</em></a></li>
</ul>
<h2 id="simple-aggregation">simple aggregation</h2>
<p><code class="language-plaintext highlighter-rouge">aggregate</code> takes the grid cells as points:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(a = aggregate(r, ne, mean, na.rm = TRUE))
## stars object with 2 dimensions and 1 attribute
## attribute(s), summary of first 1e+05 cells:
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## precip [mm/d] 0 3.206655e-05 0.5487042 2.849516 3.355176 97.14838 28631
## dimension(s):
## from to offset delta refsys point
## geometry 1 241 NA NA +proj=longlat +datum=WGS8... FALSE
## time 1 9226 NA NA POSIXct NA
## values
## geometry MULTIPOLYGON (((-69.91182 1...,...,MULTIPOLYGON (((31.42949 -2...
## time 1996-10-01,...,2021-12-31
</code></pre></div></div>
<p>and returns a <em>vector data cube</em>: an array with 241 country geometries x
9226 time steps (days). We can select the time series for Italy and plot
it, using the time series package <code class="language-plaintext highlighter-rouge">xts</code>, and aggregation to monthly mean
values from <code class="language-plaintext highlighter-rouge">xts</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>library(xts)
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
a[, which(ne$admin == "Italy"),] |> # select Italy
adrop() |> # drop geometry dimension
as.xts() -> a.xts # convert to xts (time series class)
a.xts |>
aggregate(as.Date(cut(time(a.xts), "month")), mean, na.rm = TRUE) |> # temporal aggregation
plot(ylab = "mean daily precip [mm/d]")
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/zarr1-1.png" alt="" /></p>
<p>The “exact” (or “conservative region”) aggregation in Ryan’s blog is
obtained by <a href="https://r-spatial.org/book/05-Attributes.html#sec-area-weighted">area-weighted
interpolation</a>;
we have <code class="language-plaintext highlighter-rouge">s2</code> on to get intersection using spherical coordinates; doing
this with Cartesian coordinates will not work for half of the globe
unless we’d recenter the precipitation coordinates from [0,360] to
[-180,180]:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>sf_use_s2() # the default
## [1] TRUE
ne = st_make_valid(ne)
it = ne[ne$admin == "Italy",]
st_interpolate_aw(r, it, extensive = FALSE) |>
st_set_dimensions("time", time(r)) -> a2
## Warning in st_interpolate_aw.sf(st_as_sf(x), to, extensive, ...):
## st_interpolate_aw assumes attributes are constant or uniform over areas of x
a2 |>
adrop() |>
as.xts() |>
aggregate(as.Date(cut(time(a2), "month")), mean, na.rm = TRUE) |> # monthly means
plot(ylab = "mean daily precip [mm/d]")
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/zarr2-1.png" alt="" /></p>
<p>We can compare outcomes from both computations e.g. in a scatter plot:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>a2 |> adrop() |> as.xts() -> a2.xts
plot(as.vector(a.xts), as.vector(a2.xts),
xlab = "pixels as points", ylab = "pixels as polygons")
abline(0, 1)
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/zarr3-1.png" alt="" /></p>
<h2 id="cmip6-data">CMIP6 data</h2>
<p><a href="https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6">CMIP6</a>, the climate
model intercomparison project, will share its output data (simulations
of climate projections) as NetCDF but also as Zarr files on Google Cloud
Storage. A STAC interface (static) to these data is found
<a href="https://github.com/pangeo-data/pangeo-datastore-stac/blob/master/master/climate/cmip6_gcs/collection.json">here</a>.</p>
<p>One of these files, containing pressure at sea level for 6-hour
intervals, was created by the following Python script:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>import fsspec
import xarray
import zarr
m = fsspec.get_mapper("https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706")
ds = xarray.open_zarr(m)
ds.sel(time=slice("1948-01-01","1955-12-31")).to_zarr("./psl.zarr")
</code></pre></div></div>
<p>That file is provided
<a href="https://uni-muenster.sciebo.de/s/seyc31AxNzGzot9">here</a>, but we will
read the same file directly from the cloud storage using R:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>dsn = 'ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706"/:psl.zarr/'
d = read_mdim(dsn, count = c(NA, NA, 11680))
st_crs(d) = 'OGC:CRS84'
d
## stars object with 3 dimensions and 1 attribute
## attribute(s), summary of first 1e+05 cells:
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## psl [Pa] 95056.82 99547.8 100975.1 100752.8 101700.6 105274.6
## dimension(s):
## from to offset delta refsys point
## lon 1 288 -0.625 1.25 WGS 84 NA
## lat 1 192 NA NA WGS 84 NA
## time 1 11680 1948-01-01 6 hours PCICt_365 NA
## values x/y
## lon NULL [x]
## lat [-90,-89.5288),...,[89.5288,90) [y]
## time NULL
st_bbox(d)
## xmin ymin xmax ymax
## -0.625 -90.000 359.375 90.000
</code></pre></div></div>
<p>where:</p>
<ul>
<li>in addition to the <code class="language-plaintext highlighter-rouge">ZARR:</code> and <code class="language-plaintext highlighter-rouge">/vsicurl/</code> prefixes, we see the
array name (<code class="language-plaintext highlighter-rouge">psl.zarr</code>) specified</li>
<li>the count for time, corresponding to the time slices, is given,
leaving the ones for longitude and latitude to <code class="language-plaintext highlighter-rouge">NA</code></li>
<li>dimension information can be obtained using the <code class="language-plaintext highlighter-rouge">gdalmdiminfo</code>
binary, or from R using</li>
</ul>
<!-- -->
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>ret = gdal_utils("mdiminfo", dsn, quiet = TRUE)
jsonlite::fromJSON(ret)$dimensions
## name full_name size type direction indexing_variable
## 1 bnds /bnds 2 <NA> <NA> <NA>
## 2 lat /lat 192 HORIZONTAL_Y NORTH /lat
## 3 lon /lon 288 HORIZONTAL_X EAST /lon
## 4 time /time 97820 TEMPORAL <NA> /time
</code></pre></div></div>
<ul>
<li>bounds are being read, and as they are specified as an attribute to
the coordinate variables:</li>
</ul>
<!-- -->
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>jsonlite::fromJSON(ret)$arrays$lon$attributes$bounds
## [1] "lon_bnds"
jsonlite::fromJSON(ret)$arrays$lat$attributes$bounds
## [1] "lat_bnds"
</code></pre></div></div>
<ul>
<li>we can see from the print summary that the <code class="language-plaintext highlighter-rouge">latitude</code> bounds are
irregular: the ones touching the poles are half the latitude width
as all others. Reading this as a regular GDAL file creates problems.</li>
<li>we also see is the the <code class="language-plaintext highlighter-rouge">refsys</code> (reference system) of the time is
<code class="language-plaintext highlighter-rouge">PCICt_365</code>, indicating a “365-day” calendar is used: leap days are
ignored.</li>
</ul>
<p>A regular sequence of 6-hour images is provided for the non-leap days.
Using package <code class="language-plaintext highlighter-rouge">PCICt</code> we can convert this to <code class="language-plaintext highlighter-rouge">POSIXct</code> time (the one we
live in) by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>as.POSIXct(r)
## stars object with 3 dimensions and 1 attribute
## attribute(s), summary of first 1e+05 cells:
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## precip [mm/d] 0 0 0 2.283087 1.617958 99.58805 1
## dimension(s):
## from to offset delta refsys point
## longitude 1 360 0 1 +proj=longlat +datum=WGS8... NA
## latitude 1 180 -90 1 +proj=longlat +datum=WGS8... NA
## time 1 9226 NA NA POSIXct NA
## values x/y
## longitude NULL [x]
## latitude NULL [y]
## time 1996-10-01,...,2021-12-31
</code></pre></div></div>
<p>after which we see that we no longer have a regular time dimension but
semi-regular with gaps (the leap days); POSIXct values are now in the
<code class="language-plaintext highlighter-rouge">values</code> field of the <code class="language-plaintext highlighter-rouge">time</code> dimension.</p>
<p>We can plot the first 49 time slices e.g. by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>plot(r[,,,1:49]) # first 49 time steps
## downsample set to 2
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/zarr4-1.png" alt="" /></p>
<h3 id="reading-sub-arrays-or-strided-arrays">Reading sub-arrays or strided arrays</h3>
<p>Using the multidimensional array API we can read lower reslution
versions of the imagery by setting</p>
<ul>
<li><code class="language-plaintext highlighter-rouge">offset</code> the offset (start) of reading (pixels, 0, 0, 0 by default)</li>
<li><code class="language-plaintext highlighter-rouge">count</code> the number of steps to read in each dimensions</li>
<li><code class="language-plaintext highlighter-rouge">step</code> the step size in each dimension</li>
</ul>
<p>As an example, let’s try to read one value per year:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r = read_mdim(dsn, step = c(1, 1, 365 * 4)))
## stars object with 3 dimensions and 1 attribute
## attribute(s), summary of first 1e+05 cells:
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## psl [Pa] 94926.56 99828.71 101017.5 100794.7 101698.9 105274.6
## dimension(s):
## from to offset delta refsys point
## lon 1 288 -0.625 1.25 NA NA
## lat 1 192 NA NA NA NA
## time 1 67 1948-01-01 365 days PCICt_365 NA
## values x/y
## lon NULL [x]
## lat [-90,-89.5288),...,[89.5288,90) [y]
## time NULL
plot(r)
## downsample set to 2
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/zarr5-1.png" alt="" /></p>
<p>We can for instance read yearly data at a quarter of the spatial
resolution by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r = read_mdim(dsn, step = c(4, 4, 365 * 4)))
## stars object with 3 dimensions and 1 attribute
## attribute(s):
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## psl [Pa] 93488.44 99865.04 101041 100815.3 101760.1 106605
## dimension(s):
## from to offset delta refsys point
## lon 1 72 -2.5 5 NA NA
## lat 1 48 NA NA NA NA
## time 1 67 1948-01-01 365 days PCICt_365 NA
## values x/y
## lon NULL [x]
## lat [-90,-89.5288),...,[86.70157,87.64398) [y]
## time NULL
plot(r)
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/zarr6-1.png" alt="" /></p>
<h3 id="using-the-classic-gdal-raster-api">Using the classic GDAL raster API</h3>
<p>We can explore the the zarr file by omitting the array name, e.g. by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>dsn = 'ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706"/'
gdal_utils("info", dsn)
## Driver: Zarr/Zarr
## Files: none associated
## Size is 512, 512
## Subdatasets:
## SUBDATASET_1_NAME=ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/lat
## SUBDATASET_1_DESC=Array /lat
## SUBDATASET_2_NAME=ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/lon
## SUBDATASET_2_DESC=Array /lon
## SUBDATASET_3_NAME=ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/time
## SUBDATASET_3_DESC=Array /time
## SUBDATASET_4_NAME=ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/lat_bnds
## SUBDATASET_4_DESC=Array /lat_bnds
## SUBDATASET_5_NAME=ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/lon_bnds
## SUBDATASET_5_DESC=Array /lon_bnds
## SUBDATASET_6_NAME=ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/psl
## SUBDATASET_6_DESC=Array /psl
## SUBDATASET_7_NAME=ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/time_bnds
## SUBDATASET_7_DESC=Array /time_bnds
## Corner Coordinates:
## Upper Left ( 0.0, 0.0)
## Lower Left ( 0.0, 512.0)
## Upper Right ( 512.0, 0.0)
## Lower Right ( 512.0, 512.0)
## Center ( 256.0, 256.0)
</code></pre></div></div>
<p>which lists the subdatasets; if we would ask for info on a
subdatasetname we see an error:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>dsn = 'ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/psl'
gdal_utils("info", dsn)
## Warning in CPL_gdalinfo(if (missing(source)) character(0) else source,
## options, : GDAL Error 1: Indices of extra dimensions must be specified
</code></pre></div></div>
<p>indicating that we need to add an index of the additional dimension
(time). If we add e.g. index 10, we get</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>dsn = 'ZARR:"/vsicurl/https://storage.googleapis.com/cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/highresSST-present/r1i1p1f1/6hrPlev/psl/gn/v20170706/":/psl:10'
gdal_utils("info", dsn)
## Driver: Zarr/Zarr
## Files: none associated
## Size is 288, 192
## Origin = (-0.625000000000000,-90.471204188481678)
## Pixel Size = (1.250000000000000,0.942408376963351)
## Metadata:
## cell_measures=area: areacella
## cell_methods=area: time: mean
## comment=Sea Level Pressure
## long_name=Sea Level Pressure
## standard_name=air_pressure_at_sea_level
## Corner Coordinates:
## Upper Left ( -0.6250000, -90.4712042)
## Lower Left ( -0.6250000, 90.4712042)
## Upper Right ( 359.375, -90.471)
## Lower Right ( 359.375, 90.471)
## Center ( 179.3750000, 0.0000000)
## Band 1 Block=288x192 Type=Float32, ColorInterp=Undefined
## NoData Value=1.00000002004087734e+20
## Unit Type: Pa
</code></pre></div></div>
<p>which describes a 288 x 192 pixel raster layer. It also reveals that
GDAL thinks that this raster file has latitude dimensions exceeding
[-90,90]. We can read such a slice with <code class="language-plaintext highlighter-rouge">read_stars</code> and plot the
result:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>(r0 = read_stars(dsn))
## stars object with 2 dimensions and 1 attribute
## attribute(s):
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 10 [Pa] 96032.01 99854.94 101043.6 100784.3 101660.2 105820.4
## dimension(s):
## from to offset delta refsys point values x/y
## x 1 288 -0.625 1.25 NA NA NULL [x]
## y 1 192 -90.4712 0.942408 NA NA NULL [y]
plot(r0, axes = TRUE)
</code></pre></div></div>
<p><img src="/images/figure-markdown_strict/zarr7-1.png" alt="" /></p>
<h2 id="software-versions">Software versions</h2>
<p>To use the features in this blog post for reading sub-arrays or lower
resolution arrays, you need stars >= 0.5-7 and sf >= 1.0-9, which
you can get by installing from source by</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>remotes::install_github("r-spatial/sf") # requires rtools42 on windows
remotes::install_github("r-spatial/stars")
</code></pre></div></div>
<p>You need both, since <code class="language-plaintext highlighter-rouge">stars</code> uses <code class="language-plaintext highlighter-rouge">sf</code>’s binding to GDAL - <code class="language-plaintext highlighter-rouge">stars</code> is a
pure R package, all linking to GDAL happens through <code class="language-plaintext highlighter-rouge">sf</code>.</p>
<p>Alternatively, and in particular if you use Windows or MACOS you could
install the github versions as binary package from r-universe:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>install.packages("sf", repos = "https://r-spatial.r-universe.dev")
install.packages("stars", repos = "https://r-spatial.r-universe.dev")
</code></pre></div></div>
<p><strong>update</strong> users have reported
<a href="https://github.com/r-spatial/stars/issues/564">failure</a> to reproduce
the steps in this blog post. Note that this blog post was run on a
version of <code class="language-plaintext highlighter-rouge">sf</code> linked to GDAL 3.4.3 from the
<a href="https://github.com/r-spatial/sf#ubuntu">ubuntugis-unstable</a> ppa. If you
have <code class="language-plaintext highlighter-rouge">sf</code> linked to an older version of GDAL, or if the GDAL version was
not linked against BLOSC, then this (or parts of it) may not work. Note
that Zarr, and Zarr support in GDAL are all very recent developments,
and it takes time for modern library support to propagate through
e.g. CRAN build toolchains – we are working on it!</p>
Edzer Pebesma
Vector Data Cubes
2022-09-12T00:00:00+00:00
https://www.r-spatial.org//r/2022/09/12/vdc.html
<ul id="markdown-toc">
<li><a href="#vector-data-cubes" id="markdown-toc-vector-data-cubes">Vector data cubes</a> <ul>
<li><a href="#where-do-vector-data-cubes-come-from" id="markdown-toc-where-do-vector-data-cubes-come-from">Where do vector data cubes come from?</a></li>
<li><a href="#representing-vector-data-cubes-in-software" id="markdown-toc-representing-vector-data-cubes-in-software">Representing vector data cubes in software</a></li>
<li><a href="#file-formats-for-vector-data-cubes" id="markdown-toc-file-formats-for-vector-data-cubes">File formats for vector data cubes</a> <ul>
<li><a href="#array-formats" id="markdown-toc-array-formats">array formats</a></li>
</ul>
</li>
<li><a href="#io-gis-formats" id="markdown-toc-io-gis-formats">I/O: GIS formats</a> <ul>
<li><a href="#long-table-form" id="markdown-toc-long-table-form">long table form</a></li>
<li><a href="#wide-table-forms" id="markdown-toc-wide-table-forms">wide table forms</a></li>
<li><a href="#multiple-long-table-forms-database-normalization" id="markdown-toc-multiple-long-table-forms-database-normalization">Multiple (long) table forms (database normalization)</a></li>
</ul>
</li>
</ul>
</li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2022-09-12-vdc.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>:</p>
<p>Where raster data cubes refer to data cubes with raster (x- and y-, or
lon- and lat-) dimensions, <strong>vector data cubes are n-D arrays that have
(at least) a single spatial dimension that maps to a set of (2-D) vector
geometries.</strong> This post explains what they are used for, and how they
can be handled with data science and GIS software.</p>
<h1 id="vector-data-cubes">Vector data cubes</h1>
<p>Vector data cubes are n-D arrays with (at least) one dimension that maps
to a set of typically 2-D vector geometries (points, lines or polygons).
A simple example is a time series of precipitation values for a set of
stations. With 5 time steps and 3 stations this could look like</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code> time
station 2022-08-15 2022-08-16 2022-08-17 2022-08-18 2022-08-19
A 1.03 0.62 1.47 1.88 4.23
B 2.65 2.59 1.19 1.63 4.57
C 2.08 1.72 4.33 1.58 2.62
</code></pre></div></div>
<p>This contains station labels (A, B, C) but not geometries; we could
encode the stations with their WKT notation <code class="language-plaintext highlighter-rouge">POINT(x y)</code>, as in</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code> time
station 2022-08-15 2022-08-16 2022-08-17 2022-08-18 2022-08-19
POINT(5 7) 1.03 0.62 1.47 1.88 4.23
POINT(1.3 4) 2.65 2.59 1.19 1.63 4.57
POINT(8 3) 2.08 1.72 4.33 1.58 2.62
</code></pre></div></div>
<p>A second example is a time series of RGB brightness values sampled at
four locations, which gives a 4 x 5 x 3 cube that can be printed as
three 4 x 5 tables:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>, , color = R
time
station 2022-08-15 2022-08-16 2022-08-17 2022-08-18 2022-08-19
POINT(5 7) 74 120 102 87 107
POINT(1.3 4) 10 55 149 201 17
POINT(8 3) 175 162 83 38 29
POINT(2 6) 197 159 235 61 95
, , color = G
time
station 2022-08-15 2022-08-16 2022-08-17 2022-08-18 2022-08-19
POINT(5 7) 31 179 240 151 26
POINT(1.3 4) 152 162 179 229 53
POINT(8 3) 86 162 249 116 34
POINT(2 6) 79 55 7 148 73
, , color = B
time
station 2022-08-15 2022-08-16 2022-08-17 2022-08-18 2022-08-19
POINT(5 7) 12 79 64 244 232
POINT(1.3 4) 33 23 53 165 182
POINT(8 3) 250 229 47 85 87
POINT(2 6) 186 26 29 249 253
</code></pre></div></div>
<h2 id="where-do-vector-data-cubes-come-from">Where do vector data cubes come from?</h2>
<p>Naturally, in situ sensor data, where at regular time intervals data are
collected at a number of stations, are vector data cube candidates. In
the Earth Observation world, sampling raster data cubes at point
locations leads to vector data cubes - an example would be to sample
Sentinel-5P data cubes at the locations of air quality monitoring
stations, in order to compare both - S5P values and in situ sensor
values.</p>
<p>Other applications involve time series of land use (change) values
observed over time periods at fixed locations, which are input to ML
models for the classification of time series of land use: as opposed to
classifying land use scene by scene <a href="https://dynamicworld.app/">dynamic world
ref</a>, from observations of land use time
series a better approach might be to predict land use change from
observed dynamics <a href="https://e-sensing.github.io/sitsbook/">sits book
ref</a>.</p>
<p>Another case where vector cubes arise is when (polygon) area statistics
are calculated from raster data cube imagery, e.g. the deforested area
(fraction, or ha) by year and by state or country.</p>
<h2 id="representing-vector-data-cubes-in-software">Representing vector data cubes in software</h2>
<p>In principle, any software that can handle labeled arrays (arrays with
named dimensions, and labels for dimension values) can handle vector
data cubes. However, the handling is rather clumsy: labels are character
(string) vectors, and do not reveal</p>
<ul>
<li>where time, geometries, or other dimensions are involved, and</li>
<li>what dimension values mean: measurement units, or reference systems
for time (origin and unit in case of numeric values; time zone,
calendar) or space (coordinate reference system: datum, projection
parameters)</li>
</ul>
<p>More dedicated software takes care of this, e.g. R package
<a href="https://r-spatial.github.io/stars/"><code class="language-plaintext highlighter-rouge">stars</code></a> summarizes the above data
like this:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
brightness [cd] 7 53 98.5 118.25 179 253
dimension(s):
from to offset delta refsys point values
station 1 4 NA NA WGS 84 TRUE POINT (5 7),...,POINT (2 6)
time 1 5 2022-08-15 1 days Date NA NULL
color 1 3 NA NA NA NA R, G, B
</code></pre></div></div>
<p>which</p>
<ul>
<li>recognizes the regularity of the time dimension, and its <code class="language-plaintext highlighter-rouge">Date</code>
class</li>
<li>adds a reference system to the station geometries, and recognizes
these are points</li>
</ul>
<h2 id="file-formats-for-vector-data-cubes">File formats for vector data cubes</h2>
<h3 id="array-formats">array formats</h3>
<p>Multidimensional arrays with a vector geometry dimension can well be
saved in formats like NetCDF or Zarr. For instance a NetCDF
representation, as printed by <code class="language-plaintext highlighter-rouge">ncdump</code>, would look like</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>netcdf a {
dimensions:
color = 3 ;
time = 5 ;
station = 4 ;
variables:
double brightness(color, time, station) ;
brightness:grid_mapping = "crs" ;
brightness:coordinates = "lat lon" ;
brightness:units = "cd" ;
char crs ;
crs:grid_mapping_name = "latitude_longitude" ;
crs:long_name = "CRS definition" ;
crs:longitude_of_prime_meridian = 0. ;
crs:semi_major_axis = 6378137. ;
crs:inverse_flattening = 298.257223563 ;
crs:spatial_ref = "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]" ;
crs:crs_wkt = "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]" ;
double station(station) ;
double time(time) ;
time:units = "days since 1970-01-01" ;
string col(color) ;
double lon(station) ;
lon:units = "degrees_north" ;
lon:standard_name = "longitude" ;
lon:axis = "X" ;
double lat(station) ;
lat:units = "degrees_east" ;
lat:standard_name = "latitude" ;
lat:axis = "Y" ;
double geometry ;
geometry:geometry_type = "point" ;
geometry:grid_mapping = "crs" ;
// global attributes:
:Conventions = "CF-1.6" ;
data:
brightness =
74, 10, 175, 197,
120, 55, 162, 159,
102, 149, 83, 235,
87, 201, 38, 61,
107, 17, 29, 95,
31, 152, 86, 79,
179, 162, 162, 55,
240, 179, 249, 7,
151, 229, 116, 148,
26, 53, 34, 73,
12, 33, 250, 186,
79, 23, 229, 26,
64, 53, 47, 29,
244, 165, 85, 249,
232, 182, 87, 253 ;
station = 1, 2, 3, 4 ;
time = 19219, 19220, 19221, 19222, 19223 ;
col = "R", "G", "B" ;
lon = 5, 1.3, 8, 2 ;
lat = 7, 4, 3, 6 ;
}
</code></pre></div></div>
<p>Such files can be read and written using <a href="https://gdal.org/api/index.html#multi-dimensional-array-api">GDAL’s multidimensional array
API</a>, and
transformed into other multidimansional array formats using
<code class="language-plaintext highlighter-rouge">gdalmdimtranslate</code>. The utility <code class="language-plaintext highlighter-rouge">gdalmdiminfo</code> can print the dimension
metadata, or the entire information (including values) as JSON.</p>
<h2 id="io-gis-formats">I/O: GIS formats</h2>
<p>The two common GIS formats (as supported by GDAL) are</p>
<ul>
<li>vector tables: a set of vector geometries with zero or more
attributes</li>
<li>raster data: a raster images with 1 or more layers</li>
</ul>
<p>Clearly, for vector data cubes the the raster data format will not work
because the array dimensions do not correspond to two spatial dimensions
(x and y). For vector tables, there are essentially two options:</p>
<h3 id="long-table-form">long table form</h3>
<p>The long table form can be illustrated by showing six records of the
array above:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code> station time color brightness
1 POINT (5 7) 2022-08-15 R 74 [cd]
2 POINT (1.3 4) 2022-08-15 R 10 [cd]
3 POINT (8 3) 2022-08-15 R 175 [cd]
4 POINT (2 6) 2022-08-15 R 197 [cd]
5 POINT (5 7) 2022-08-16 R 120 [cd]
6 POINT (1.3 4) 2022-08-16 R 55 [cd]
</code></pre></div></div>
<p>In this form, the complete set of array values ends up in a single
column, and all dimensions are recycled appropriately. This is the least
ambiguous form because it</p>
<ul>
<li>keeps dimension and variable names,</li>
<li>keeps data types (like variable time being of class <code class="language-plaintext highlighter-rouge">Date</code>)</li>
<li>keeps the array values in a single column.</li>
</ul>
<p>On the other hand, it replicates dimension values and can lead to very
large tables.</p>
<p>When a table of this kind is provided by a user, it is not immediately
clear</p>
<ul>
<li>what the (unique) dimension values are, in particular for geometries</li>
<li>whether all array values are present,</li>
<li>whether it contains multiple records with identical dimension values</li>
</ul>
<p>all this needs to be sorted out before one can recreate a
multidimensional array from its long table form.</p>
<h3 id="wide-table-forms">wide table forms</h3>
<p>There are different ways in which we can use the column space to
distribute our array values. The most extreme would <em>not</em> replicate
geometries, so end up with four rows and combine the other dimensions
(time, color) into columns, creating column names that paste the
information togehter, as in the 4 rows x 15 columns table</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code> 2022-08-15.R 2022-08-16.R 2022-08-17.R 2022-08-18.R 2022-08-19.R 2022-08-15.G
1 74 [cd] 120 [cd] 102 [cd] 87 [cd] 107 [cd] 31 [cd]
2 10 [cd] 55 [cd] 149 [cd] 201 [cd] 17 [cd] 152 [cd]
3 175 [cd] 162 [cd] 83 [cd] 38 [cd] 29 [cd] 86 [cd]
4 197 [cd] 159 [cd] 235 [cd] 61 [cd] 95 [cd] 79 [cd]
2022-08-16.G 2022-08-17.G 2022-08-18.G 2022-08-19.G 2022-08-15.B 2022-08-16.B
1 179 [cd] 240 [cd] 151 [cd] 26 [cd] 12 [cd] 79 [cd]
2 162 [cd] 179 [cd] 229 [cd] 53 [cd] 33 [cd] 23 [cd]
3 162 [cd] 249 [cd] 116 [cd] 34 [cd] 250 [cd] 229 [cd]
4 55 [cd] 7 [cd] 148 [cd] 73 [cd] 186 [cd] 26 [cd]
2022-08-17.B 2022-08-18.B 2022-08-19.B station
1 64 [cd] 244 [cd] 232 [cd] POINT (5 7)
2 53 [cd] 165 [cd] 182 [cd] POINT (1.3 4)
3 47 [cd] 85 [cd] 87 [cd] POINT (8 3)
4 29 [cd] 249 [cd] 253 [cd] POINT (2 6)
</code></pre></div></div>
<p>Other forms would borrow from the long form, and for instance create 5 x
4 records with all station and time combinations and have variables <code class="language-plaintext highlighter-rouge">R</code>,
<code class="language-plaintext highlighter-rouge">G</code> and <code class="language-plaintext highlighter-rouge">B</code>, or have 5 x 3 records combining the station and color,
having the time values as column names.</p>
<p>The disadvantages are obvious:</p>
<ul>
<li>column names collated from combinations of dimension values are
cludgy, and are ugly to read or process</li>
<li>the dimension values that end up in column names loose there type,
units and reference system</li>
<li>this may lead to tables with extremely many columns, which may be
not practical or break software</li>
<li>software my require that column names start with a letter,
increasing the name cludge</li>
</ul>
<p>Recreating the array from wide table forms may be relatively
straightforward in data science languages (Python, R) but harder in
databases.</p>
<p>It should be noted that vector data cubes can also have line or polygon
geometries. In that case, WKT representations of geometries can become
very long and not useful as colunn names.</p>
<h3 id="multiple-long-table-forms-database-normalization">Multiple (long) table forms (database normalization)</h3>
<p>The repetition of dimension values in the long table form would be
prohibitive if individual geometries are large. One way to cope with
that is to create a geometry table with the unique geometries, and put a
index (foreign key) to these geometries in the long table. This can be
done with all recycling dimensions, and would make recreating the
original array easier.</p>
Edzer Pebesma, Roger Bivand
R-spatial evolution: retirement of rgdal, rgeos and maptools
2022-04-12T00:00:00+00:00
https://www.r-spatial.org//r/2022/04/12/evolution.html
<ul id="markdown-toc">
<li><a href="#why-this-blog" id="markdown-toc-why-this-blog">Why this blog?</a></li>
<li><a href="#why-rgeos-and-rgdal-will-retire" id="markdown-toc-why-rgeos-and-rgdal-will-retire">Why <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">rgdal</code> will retire</a></li>
<li><a href="#packages-depending-on-rgeos-and-rgdal" id="markdown-toc-packages-depending-on-rgeos-and-rgdal">Packages depending on <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">rgdal</code></a></li>
<li><a href="#the-plan" id="markdown-toc-the-plan">The Plan</a></li>
<li><a href="#packages-depending-on-sp-and-raster" id="markdown-toc-packages-depending-on-sp-and-raster">Packages depending on <code class="language-plaintext highlighter-rouge">sp</code> and <code class="language-plaintext highlighter-rouge">raster</code></a></li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2022-03-09-evolution.Rmd">view raw
Rmd</a>]</p>
<p><strong>Summary</strong>: Packages <code class="language-plaintext highlighter-rouge">rgdal</code>, <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">maptools</code> will retire by the
end of 2023 . We describe where their functionality will go, what
package maintainers can or should do, and which steps we will take to
minimize the impact on dependent packages and on reproducibility in
general.</p>
<h1 id="why-this-blog">Why this blog?</h1>
<p>The R Consortium ISC granted a proposal by the authors of this blog,
called “Preparing CRAN for the retirement of rgdal, rgeos and maptools”.
In this blog we will point out what this project will do.</p>
<h1 id="why-rgeos-and-rgdal-will-retire">Why <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">rgdal</code> will retire</h1>
<p>When loading package <code class="language-plaintext highlighter-rouge">rgeos</code> recently you may have noticed the startup
message:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>Please note that rgeos will be retired by the end of 2023,
plan transition to sf functions using GEOS at your earliest convenience.
</code></pre></div></div>
<p>and similar with <code class="language-plaintext highlighter-rouge">rgdal</code>:</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>Please note that rgdal will be retired by the end of 2023,
plan transition to sf/stars/terra functions using GDAL and PROJ
at your earliest convenience.
</code></pre></div></div>
<p>The reason that these package will retire are primary that their
maintainer, Roger Bivand, has retired. In principle someone could take
over maintenance, but that would be a large effort better spent
differently. Maintenance of these two packages is hard because</p>
<ol>
<li>they link R code to external libraries, in particular
<a href="https://trac.osgeo.org/geos">GEOS</a>, <a href="https://gdal.org/">GDAL</a> and
<a href="https://proj.org/">PROJ</a>, which needs regular adaption when these
libraries change</li>
<li>building binary package versions for Windows and Mac-OS requires
frequent communication with the CRAN team members</li>
<li>both packages are nearly 20 years old, contain a lot of code that is
conditional to older versions of the external libraries and use the
<code class="language-plaintext highlighter-rouge">.Call()</code> interface which makes code harde to read.</li>
</ol>
<p>More modern packages like <code class="language-plaintext highlighter-rouge">sf</code> (since 2016), <code class="language-plaintext highlighter-rouge">stars</code> (2018) and <code class="language-plaintext highlighter-rouge">terra</code>
(2020) also link to GDAL, GEOS and PROJ and should be able to take over
the role that <code class="language-plaintext highlighter-rouge">rgdal</code> and <code class="language-plaintext highlighter-rouge">rgeos</code> now have in the future. In this blog
we describe how we envision this to happen.</p>
<h1 id="packages-depending-on-rgeos-and-rgdal">Packages depending on <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">rgdal</code></h1>
<p>There are several ways in which R packages can depend on others, which
we summarize with <strong>strong</strong> (one of: “Depends”, “Imports”, “LinkingTo”)
or <strong>most</strong> (one of: “Depends”, “Imports”, “LinkingTo”, “Suggests”). The
following table lists how many packages currently depend on <code class="language-plaintext highlighter-rouge">rgdal</code>
and/or <code class="language-plaintext highlighter-rouge">rgeos</code> and/or <code class="language-plaintext highlighter-rouge">maptools</code>:</p>
<table>
<thead>
<tr class="header">
<th></th>
<th style="text-align: right;">rgdal</th>
<th style="text-align: right;">rgeos</th>
<th style="text-align: right;">maptools</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Direct strong</td>
<td style="text-align: right;">213</td>
<td style="text-align: right;">140</td>
<td style="text-align: right;">93</td>
</tr>
<tr class="even">
<td>Recursive strong</td>
<td style="text-align: right;">265</td>
<td style="text-align: right;">190</td>
<td style="text-align: right;">641</td>
</tr>
<tr class="odd">
<td>Direct most</td>
<td style="text-align: right;">358</td>
<td style="text-align: right;">225</td>
<td style="text-align: right;">180</td>
</tr>
</tbody>
</table>
<p>where “recursive strong” also counts packages that depend strongly on
another package that strongly depends on rgdal or rgeos. Strong
dependency means that a package will not run without rgdal or rgeos.</p>
<h1 id="the-plan">The Plan</h1>
<p>The plan is to</p>
<ol>
<li>Move, where possible, functionality from CRAN packages “rgeos”,
“rgdal” and “maptools” to modern packages that have an active
maintainer</li>
<li>Contact maintainers of CRAN packages depending on “rgdal”, “rgeos”
and “maptools” and provide guidance how they can migrate to modern
alternatives</li>
<li>Modify package “sp” such that it no longer depends on “rgdal” or
“rgeos”</li>
<li>Assist in modifying package “raster” such that it no longer needs
“rgdal” or “rgeos”</li>
<li>Develop proxy packages for “rgdal” and “rgeos” that do not link to
system requirements GDAL, PROJ and GEOS but that - where possible -
call into maintained R packages (while warning that deprecated
functions are being called), and otherwise raise errors with
pointers to how they can be resolved.</li>
</ol>
<p>Steps that will need to be carried out include:</p>
<ul>
<li>For each of “rgdal”, “rgeos” and “maptools”, we will create a list
of functions that reverse CRAN dependencies call, along with the
arguments that are being set in these calls</li>
<li>Given this list, we will decide which functions will/can be replaced
by functions that call into sf/stars/raster/terra, taking vector
representations first and raster representations second</li>
<li>A reference group will be established (a “project steering
committee”) consisting of the most affected package maintainers and
institutional R Spatial users, and those with knowledge of legacy
sp/raster workflows to explore changes that would work for them</li>
<li>Functions/methods that can be moved directly to sp will be
identified (e.g. sp-spatstat coercion, sp-maps coercion etc.)</li>
<li>Other functions will be rewritten into a new set of “proxy” packages
for rgdal, rgeos and maptools that pass on to sf/stars/raster/terra
(first vector representations, once vector established to be
extended to raster representations)</li>
<li>With these “proxy” packages, reverse dependency checks will be
carried out (first vector representations, once vector established
extend to raster representations)</li>
<li>Reverse dependency package maintainers affected will be informed
that this will happen, and will be pointed to reports/contingency
measures permitting the elimination of proxy packages other than sp</li>
<li>All affected reverse dependency package maintainers will be informed
about functions that will be abandoned and not replaced</li>
<li>Proxy packages will be submitted to CRAN if necessary – target to
support workflows and notebooks (reproducible research) rather than
dependent packages – sp to continue as a container for a very few
proxified functions such as sp::spTransform().</li>
<li>Old-style function calls will be finally deprecated (e.g. readOGR),
with pointers to replacement function calls.</li>
</ul>
<h1 id="packages-depending-on-sp-and-raster">Packages depending on <code class="language-plaintext highlighter-rouge">sp</code> and <code class="language-plaintext highlighter-rouge">raster</code></h1>
<p>Package <code class="language-plaintext highlighter-rouge">raster</code> has <code class="language-plaintext highlighter-rouge">rgdal</code> in <code class="language-plaintext highlighter-rouge">Suggests:</code>, but uses it intensively to
read and write common raster formats. A lot of functions in <code class="language-plaintext highlighter-rouge">rgdal</code> were
added there specifically with usage by <code class="language-plaintext highlighter-rouge">raster</code> in mind. The risk that
<code class="language-plaintext highlighter-rouge">raster</code> will stop working when <code class="language-plaintext highlighter-rouge">rgdal</code> retires is however limited,
because (i) package <code class="language-plaintext highlighter-rouge">terra</code> is being developed and is meant to entirely
replace <code class="language-plaintext highlighter-rouge">raster</code>, (ii) <code class="language-plaintext highlighter-rouge">raster</code> currently imports <code class="language-plaintext highlighter-rouge">terra</code>, and (iii) as
<code class="language-plaintext highlighter-rouge">terra</code> directly links to GDAL, GEOS and PROJ, functions currently in
<code class="language-plaintext highlighter-rouge">rgdal</code> but needed (only) by <code class="language-plaintext highlighter-rouge">raster</code> could relatively easily be moved
to <code class="language-plaintext highlighter-rouge">terra</code>.</p>
<p>Package <code class="language-plaintext highlighter-rouge">sp</code> currently suggests both <code class="language-plaintext highlighter-rouge">rgeos</code> and <code class="language-plaintext highlighter-rouge">rgdal</code>. It uses
<code class="language-plaintext highlighter-rouge">rgdal</code> for the validation of <code class="language-plaintext highlighter-rouge">CRS</code> objects (proj4string or WKT
descriptions of coordinate reference systems), and it uses <code class="language-plaintext highlighter-rouge">rgeos</code> to
sort out which rings are holes when a <code class="language-plaintext highlighter-rouge">SpatialPolygons</code> object does not
have a flag indicating this. This only happens for saved objects that
are at least 10 years old. Both functionalities (CRS validation, hole
detection) can however easily be substituted by functions in package
<code class="language-plaintext highlighter-rouge">sf</code>.</p>
<p>We already carried out step 3 of the above list of steps. Branch
<a href="https://github.com/rsbivand/sp/tree/evolution">evolution</a> of Roger
Bivand’s fork of <code class="language-plaintext highlighter-rouge">sp</code>, which can be installed with</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>devtools::install_github("rsbivand/sp@evolution")
</code></pre></div></div>
<p>contains conditional code that prevents <code class="language-plaintext highlighter-rouge">sp</code> to call code in <code class="language-plaintext highlighter-rouge">rgdal</code> or
<code class="language-plaintext highlighter-rouge">rgeos</code>. This can be enabled by setting</p>
<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>Sys.setenv("_SP_EVOLUTION_STATUS_"=2)
</code></pre></div></div>
<p>after that, e.g. a call to <code class="language-plaintext highlighter-rouge">CRS("+proj=longlat")</code> calls <code class="language-plaintext highlighter-rouge">sf::st_crs()</code>
to validate the coordinate reference system and retrieve the WKT
representation. All code of the <a href="https://asdar-book.org/">ASDAR</a> has
been verified to run under these conditions. Maintainers of packages
depending on <code class="language-plaintext highlighter-rouge">sp</code> can do this too when checking their packages.</p>
Henning Teickner, Beneditk Gräler, Edzer Pebesma
The sftime Package
2022-04-12T00:00:00+00:00
https://www.r-spatial.org//r/2022/04/12/sftime-1.html
<ul id="markdown-toc">
<li><a href="#which-gap-does-the-sftime-package-fill" id="markdown-toc-which-gap-does-the-sftime-package-fill">Which gap does the <code class="language-plaintext highlighter-rouge">sftime</code> package fill?</a></li>
<li><a href="#a-motivating-example" id="markdown-toc-a-motivating-example">A motivating example</a> <ul>
<li><a href="#geometrical-operations-and-subsetting" id="markdown-toc-geometrical-operations-and-subsetting">Geometrical operations and subsetting</a></li>
<li><a href="#plotting" id="markdown-toc-plotting">Plotting</a></li>
</ul>
</li>
<li><a href="#another-motivating-example-earthquake-events" id="markdown-toc-another-motivating-example-earthquake-events">Another motivating example: earthquake events</a></li>
<li><a href="#the-sftime-class" id="markdown-toc-the-sftime-class">The <code class="language-plaintext highlighter-rouge">sftime</code> class</a> <ul>
<li><a href="#object-structure" id="markdown-toc-object-structure">Object structure</a></li>
<li><a href="#conversion-from-and-to-sftime" id="markdown-toc-conversion-from-and-to-sftime">Conversion from and to <code class="language-plaintext highlighter-rouge">sftime</code></a></li>
</ul>
</li>
<li><a href="#available-methods" id="markdown-toc-available-methods">Available methods</a></li>
<li><a href="#outlook" id="markdown-toc-outlook">Outlook</a> <ul>
<li><a href="#gstat-and-spcopula-integration" id="markdown-toc-gstat-and-spcopula-integration"><code class="language-plaintext highlighter-rouge">gstat</code> and <code class="language-plaintext highlighter-rouge">spcopula</code> integration</a></li>
<li><a href="#sftime-future-developments" id="markdown-toc-sftime-future-developments"><code class="language-plaintext highlighter-rouge">sftime</code>: future developments</a></li>
<li><a href="#acknowledgment" id="markdown-toc-acknowledgment">Acknowledgment</a></li>
</ul>
</li>
</ul>
<p>[<a href="https://raw.githubusercontent.com//r-spatial/r-spatial.org/gh-pages/_rmd/2022-03-05-sftime-1.Rmd">view raw
Rmd</a>]</p>
<p>We are glad to report on the first CRAN release of the
<a href="https://r-spatial.github.io/sftime"><code class="language-plaintext highlighter-rouge">sftime</code></a> package. The aim of
<code class="language-plaintext highlighter-rouge">sftime</code> is to extent simple features from the
<a href="https://r-spatial.github.io/sf"><code class="language-plaintext highlighter-rouge">sf</code></a> package to handle (irregular)
spatiotemporal data, such as records on earthquakes, accidents, disease
or death cases, lightning strikes, data from weather stations, but also
movement data which have further constraints.</p>
<p>This blog post</p>
<ul>
<li>explains what gap the <code class="language-plaintext highlighter-rouge">sftime</code> package intents to fill,</li>
<li>provides two motivating examples to show how <code class="language-plaintext highlighter-rouge">sftime</code> objects can be
used,</li>
<li>introduces the format of the <code class="language-plaintext highlighter-rouge">sftime</code> class, conversion methods from
and to other classes, and available methods for class <code class="language-plaintext highlighter-rouge">sftime</code>,</li>
<li>and gives an outlook to the planned integration with <code class="language-plaintext highlighter-rouge">gstat</code> and
<code class="language-plaintext highlighter-rouge">spcopula</code> to support spatiotemporal statistical analyses and future
developments of <code class="language-plaintext highlighter-rouge">sftime</code>.</li>
</ul>
<h1 id="which-gap-does-the-sftime-package-fill">Which gap does the <code class="language-plaintext highlighter-rouge">sftime</code> package fill?</h1>
<p>The <a href="https://github.com/r-spatial/stars/"><code class="language-plaintext highlighter-rouge">stars</code></a> package is an
extension to <code class="language-plaintext highlighter-rouge">sf</code> which already handles <em>regular</em> spatiotemporal data —
data cubes with spatial and regular temporal dimensions — such as
gridded temperature values (raster time series) and vector data with
temporal records at regular temporal instances (e.g. election results in
states). From a historical perspective, <code class="language-plaintext highlighter-rouge">stars</code> objects replaced the
<code class="language-plaintext highlighter-rouge">STF</code> and <code class="language-plaintext highlighter-rouge">STS</code> classes in the
<a href="https://cran.r-project.org/web/packages/spacetime/index.html"><code class="language-plaintext highlighter-rouge">spacetime</code></a>
package.</p>
<p>What <code class="language-plaintext highlighter-rouge">stars</code> cannot handle are simple features where the spatial and
temporal dimension are <em>irregular</em>. Irregular spatiotemporal data often
arise in research and other applications, for example when analyzing
aforementioned cases of earthquakes, accidents, disease or death cases,
lightning strikes, data from weather stations, and movement data. From a
historical perspective, <code class="language-plaintext highlighter-rouge">sftime</code> is intended to replace the <code class="language-plaintext highlighter-rouge">STI</code> and
<code class="language-plaintext highlighter-rouge">STT</code> (trajectory data) classes in the <code class="language-plaintext highlighter-rouge">spacetime</code> package (in company
of more specialized packages for trajectory data, such as
<a href="https://github.com/mablab/sftrack"><code class="language-plaintext highlighter-rouge">sftrack</code></a>).</p>
<p>Even though <code class="language-plaintext highlighter-rouge">sftime</code> can in principle also handle regular spatiotemporal
data, <code class="language-plaintext highlighter-rouge">stars</code> is the preferred option to handle such data — <code class="language-plaintext highlighter-rouge">sftime</code> is
not focused on regular spatiotemporal data. Thus, <code class="language-plaintext highlighter-rouge">sftime</code> complements
the capabilities of the <code class="language-plaintext highlighter-rouge">stars</code> package for irregular spatiotemporal
data.</p>
<h1 id="a-motivating-example">A motivating example</h1>
<p>Here, we:</p>
<ul>
<li>provide a first glimpse on the <code class="language-plaintext highlighter-rouge">sftime</code> class,</li>
<li>show one way to create an <code class="language-plaintext highlighter-rouge">sftime</code> object from an <code class="language-plaintext highlighter-rouge">sf</code> object, and</li>
<li>show some visualization possibilities for <code class="language-plaintext highlighter-rouge">sftime</code> objects.</li>
</ul>
<p>To this end, we directly build on top of the <a href="https://r-spatial.org/r/2017/08/28/nest.html">Tidy storm trajectories
blog post</a> which uses the
storm trajectory data from the <code class="language-plaintext highlighter-rouge">dplyr</code> package — a perfect example for
irregular spatiotemporal data.</p>
<p>First, we need to prepare the data and convert it into an <code class="language-plaintext highlighter-rouge">sf</code> object as
described in the <a href="https://r-spatial.org/r/2017/08/28/nest.html">blog
post</a>:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c1"># packages</span><span class="w">
</span><span class="n">library</span><span class="p">(</span><span class="n">dplyr</span><span class="p">)</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> Attaching package: 'dplyr'</span><span class="w">
</span><span class="c1">#> The following object is masked from 'package:kableExtra':</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> group_rows</span><span class="w">
</span><span class="c1">#> The following objects are masked from 'package:stats':</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> filter, lag</span><span class="w">
</span><span class="c1">#> The following objects are masked from 'package:base':</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> intersect, setdiff, setequal, union</span><span class="w">
</span><span class="n">library</span><span class="p">(</span><span class="n">sf</span><span class="p">)</span><span class="w">
</span><span class="c1">#> Linking to GEOS 3.10.1, GDAL 3.4.0, PROJ 8.2.0; sf_use_s2() is TRUE</span><span class="w">
</span><span class="n">library</span><span class="p">(</span><span class="n">sftime</span><span class="p">)</span><span class="w">
</span><span class="n">library</span><span class="p">(</span><span class="n">rnaturalearth</span><span class="p">)</span><span class="w">
</span><span class="c1"># convert to sf object</span><span class="w">
</span><span class="n">storms_sf</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">storms</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_as_sf</span><span class="p">(</span><span class="n">coords</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nf">c</span><span class="p">(</span><span class="s2">"long"</span><span class="p">,</span><span class="w"> </span><span class="s2">"lat"</span><span class="p">),</span><span class="w"> </span><span class="n">crs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">4326</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">mutate</span><span class="p">(</span><span class="w">
</span><span class="n">time</span><span class="w"> </span><span class="o">=</span><span class="w">
</span><span class="n">paste</span><span class="p">(</span><span class="n">paste</span><span class="p">(</span><span class="n">year</span><span class="p">,</span><span class="w"> </span><span class="n">month</span><span class="p">,</span><span class="w"> </span><span class="n">day</span><span class="p">,</span><span class="w"> </span><span class="n">sep</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"-"</span><span class="p">),</span><span class="w"> </span><span class="n">paste</span><span class="p">(</span><span class="n">hour</span><span class="p">,</span><span class="w"> </span><span class="s2">":00"</span><span class="p">,</span><span class="w"> </span><span class="n">sep</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">""</span><span class="p">))</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">as.POSIXct</span><span class="p">()</span><span class="w">
</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">select</span><span class="p">(</span><span class="o">-</span><span class="n">month</span><span class="p">,</span><span class="w"> </span><span class="o">-</span><span class="n">day</span><span class="p">,</span><span class="w"> </span><span class="o">-</span><span class="n">hour</span><span class="p">)</span><span class="w">
</span></code></pre></div></div>
<p>Now, <code class="language-plaintext highlighter-rouge">sftime</code> comes into play:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="n">library</span><span class="p">(</span><span class="n">sftime</span><span class="p">)</span><span class="w">
</span><span class="c1"># convert to sftime object</span><span class="w">
</span><span class="n">storms_sftime</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">st_as_sftime</span><span class="p">(</span><span class="n">storms_sf</span><span class="p">)</span><span class="w">
</span><span class="n">storms_sftime</span><span class="w">
</span><span class="c1">#> Spatiotemporal feature collection with 10010 features and 8 fields</span><span class="w">
</span><span class="c1">#> Geometry type: POINT</span><span class="w">
</span><span class="c1">#> Dimension: XY</span><span class="w">
</span><span class="c1">#> Bounding box: xmin: -109.3 ymin: 7.2 xmax: -6 ymax: 51.9</span><span class="w">
</span><span class="c1">#> Geodetic CRS: WGS 84</span><span class="w">
</span><span class="c1">#> Time column with class: 'POSIXt'.</span><span class="w">
</span><span class="c1">#> Ranging from 1975-06-27 to 2015-11-11 18:00:00.</span><span class="w">
</span><span class="c1">#> # A tibble: 10,010 × 10</span><span class="w">
</span><span class="c1">#> name year status category wind pressure ts_diameter hu_diameter</span><span class="w">
</span><span class="c1">#> * <chr> <dbl> <chr> <ord> <int> <int> <dbl> <dbl></span><span class="w">
</span><span class="c1">#> 1 Amy 1975 tropical depress… -1 25 1013 NA NA</span><span class="w">
</span><span class="c1">#> 2 Amy 1975 tropical depress… -1 25 1013 NA NA</span><span class="w">
</span><span class="c1">#> 3 Amy 1975 tropical depress… -1 25 1013 NA NA</span><span class="w">
</span><span class="c1">#> 4 Amy 1975 tropical depress… -1 25 1013 NA NA</span><span class="w">
</span><span class="c1">#> 5 Amy 1975 tropical depress… -1 25 1012 NA NA</span><span class="w">
</span><span class="c1">#> 6 Amy 1975 tropical depress… -1 25 1012 NA NA</span><span class="w">
</span><span class="c1">#> 7 Amy 1975 tropical depress… -1 25 1011 NA NA</span><span class="w">
</span><span class="c1">#> 8 Amy 1975 tropical depress… -1 30 1006 NA NA</span><span class="w">
</span><span class="c1">#> 9 Amy 1975 tropical storm 0 35 1004 NA NA</span><span class="w">
</span><span class="c1">#> 10 Amy 1975 tropical storm 0 40 1002 NA NA</span><span class="w">
</span><span class="c1">#> # … with 10,000 more rows, and 2 more variables: geometry <POINT [°]>,</span><span class="w">
</span><span class="c1">#> # time <dttm></span><span class="w">
</span></code></pre></div></div>
<h2 id="geometrical-operations-and-subsetting">Geometrical operations and subsetting</h2>
<p>The main aim of <code class="language-plaintext highlighter-rouge">sftime</code> is to do the bookkeeping when doing any spatial
operations. In practice, this means that you can apply all methods which
work on <code class="language-plaintext highlighter-rouge">sf</code> objects also on <code class="language-plaintext highlighter-rouge">sftime</code> objects. Here are some examples:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c1"># geometrical transformation</span><span class="w">
</span><span class="n">d1</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">st_transform</span><span class="p">(</span><span class="n">storms_sftime</span><span class="p">,</span><span class="w"> </span><span class="n">crs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">4269</span><span class="p">)</span><span class="w">
</span><span class="c1"># spatial filtering: All records within the bounding box for storm "Amy"</span><span class="w">
</span><span class="n">d2</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">storms_sftime</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_filter</span><span class="p">(</span><span class="w">
</span><span class="n">y</span><span class="w"> </span><span class="o">=</span><span class="w">
</span><span class="n">storms_sftime</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">dplyr</span><span class="o">::</span><span class="n">filter</span><span class="p">(</span><span class="n">name</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="s2">"Amy"</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_bbox</span><span class="p">()</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_as_sfc</span><span class="p">()</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_as_sf</span><span class="p">(),</span><span class="w">
</span><span class="n">.predicate</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">st_within</span><span class="w">
</span><span class="p">)</span><span class="w">
</span><span class="c1"># spatial joining: Detect countries within which storm records were made (remove three country polygons with invalid geometries to make the example run)</span><span class="w">
</span><span class="n">d3</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">storms_sftime</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_join</span><span class="p">(</span><span class="w">
</span><span class="n">y</span><span class="w"> </span><span class="o">=</span><span class="w">
</span><span class="n">rnaturalearth</span><span class="o">::</span><span class="n">ne_countries</span><span class="p">(</span><span class="n">returnclass</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"sf"</span><span class="p">)[</span><span class="o">-</span><span class="nf">c</span><span class="p">(</span><span class="m">7</span><span class="p">,</span><span class="w"> </span><span class="m">54</span><span class="p">,</span><span class="w"> </span><span class="m">136</span><span class="p">),</span><span class="w"> </span><span class="p">]</span><span class="w"> </span><span class="o">%>%</span><span class="w"> </span><span class="c1"># </span><span class="w">
</span><span class="n">mutate</span><span class="p">(</span><span class="w">
</span><span class="n">geometry</span><span class="w"> </span><span class="o">=</span><span class="w">
</span><span class="n">s2</span><span class="o">::</span><span class="n">s2_rebuild</span><span class="p">(</span><span class="n">geometry</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">sf</span><span class="o">::</span><span class="n">st_as_sfc</span><span class="p">()</span><span class="w">
</span><span class="p">),</span><span class="w">
</span><span class="n">join</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">st_within</span><span class="w">
</span><span class="p">)</span><span class="w">
</span></code></pre></div></div>
<p>Temporal filtering works the same as for data frames, e.g.:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c1"># temporal filtering: All records before 1990-01-01 00:00:00</span><span class="w">
</span><span class="n">d4</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">storms_sftime</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">filter</span><span class="p">(</span><span class="n">time</span><span class="w"> </span><span class="o"><</span><span class="w"> </span><span class="n">as.POSIXct</span><span class="p">(</span><span class="s2">"1990-01-01 00:00:00"</span><span class="p">))</span><span class="w">
</span></code></pre></div></div>
<h2 id="plotting">Plotting</h2>
<p><code class="language-plaintext highlighter-rouge">sftime</code> has a simple plotting method. This will plot the spatial
features and color them according to the values of a specified variable.
The time values are assigned to intervals and for each interval, one
panel is plotted with the panel title indicating the start time of the
respective time interval. Here, we plot the storm records colored by
their maximum sustained wind speed in knots:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="n">plot</span><span class="p">(</span><span class="n">storms_sftime</span><span class="p">,</span><span class="w"> </span><span class="n">y</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"wind"</span><span class="p">,</span><span class="w"> </span><span class="n">key.pos</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">4</span><span class="p">)</span><span class="w">
</span></code></pre></div></div>
<p><img src="/images/figure-markdown_mmd/sftime1-1.png" alt="" /></p>
<p>For other plots or more elaborated plots, we recommend using <code class="language-plaintext highlighter-rouge">ggplot2</code>
or <code class="language-plaintext highlighter-rouge">tmap</code>. For example, to plot when different storms (identified by
their names) occurred, we can do:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="n">library</span><span class="p">(</span><span class="n">ggplot2</span><span class="p">)</span><span class="w">
</span><span class="n">storms_sftime</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">dplyr</span><span class="o">::</span><span class="n">slice</span><span class="p">(</span><span class="m">1</span><span class="o">:</span><span class="m">1000</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w"> </span><span class="c1"># select only first 1000 records to keep things compact</span><span class="w">
</span><span class="n">ggplot</span><span class="p">(</span><span class="n">aes</span><span class="w"> </span><span class="p">(</span><span class="n">y</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">name</span><span class="p">,</span><span class="w"> </span><span class="n">x</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">time</span><span class="p">))</span><span class="w"> </span><span class="o">+</span><span class="w">
</span><span class="n">geom_point</span><span class="p">()</span><span class="w">
</span></code></pre></div></div>
<p><img src="/images/figure-markdown_mmd/sftime2-1.png" alt="" /></p>
<p>We’ll show a <code class="language-plaintext highlighter-rouge">tmap</code> plotting example in the next example.</p>
<h1 id="another-motivating-example-earthquake-events">Another motivating example: earthquake events</h1>
<p>To illustrate <code class="language-plaintext highlighter-rouge">sftime</code> with another example, we’ll use data on
earthquakes from the
<a href="https://cran.r-project.org/web/packages/geostats/index.html"><code class="language-plaintext highlighter-rouge">geostats</code></a>
package.</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="n">library</span><span class="p">(</span><span class="n">geostats</span><span class="p">)</span><span class="w">
</span><span class="c1"># convert `earthquakes` data into an sftime object</span><span class="w">
</span><span class="n">earthquakes_sftime</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">earthquakes</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">dplyr</span><span class="o">::</span><span class="n">mutate</span><span class="p">(</span><span class="w">
</span><span class="n">time</span><span class="w"> </span><span class="o">=</span><span class="w">
</span><span class="n">paste</span><span class="p">(</span><span class="n">paste</span><span class="p">(</span><span class="n">year</span><span class="p">,</span><span class="w"> </span><span class="n">month</span><span class="p">,</span><span class="w"> </span><span class="n">day</span><span class="p">,</span><span class="w"> </span><span class="n">sep</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"-"</span><span class="p">),</span><span class="w"> </span><span class="n">paste</span><span class="p">(</span><span class="n">hour</span><span class="p">,</span><span class="w"> </span><span class="n">minute</span><span class="p">,</span><span class="w"> </span><span class="n">second</span><span class="p">,</span><span class="w"> </span><span class="n">sep</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">":"</span><span class="p">))</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">as.POSIXct</span><span class="p">(</span><span class="n">format</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"%Y-%m-%d %H:%M:%OS"</span><span class="p">)</span><span class="w">
</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_as_sftime</span><span class="p">(</span><span class="n">coords</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nf">c</span><span class="p">(</span><span class="s2">"lon"</span><span class="p">,</span><span class="w"> </span><span class="s2">"lat"</span><span class="p">),</span><span class="w"> </span><span class="n">time_column_name</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"time"</span><span class="p">,</span><span class="w"> </span><span class="n">crs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">4326</span><span class="p">)</span><span class="w">
</span></code></pre></div></div>
<p>We want to filter the data for all earthquakes happening in Japan
(including 200 km buffer) since 2020-01-01 and create a plot for this
using <code class="language-plaintext highlighter-rouge">tmap</code>:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c1"># get a polygon for Japan for filtering </span><span class="w">
</span><span class="n">sf_japan</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">rnaturalearth</span><span class="o">::</span><span class="n">ne_countries</span><span class="p">(</span><span class="n">returnclass</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"sf"</span><span class="p">,</span><span class="w"> </span><span class="n">scale</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s1">'medium'</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">dplyr</span><span class="o">::</span><span class="n">filter</span><span class="p">(</span><span class="n">name</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="s2">"Japan"</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_transform</span><span class="p">(</span><span class="n">crs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">2451</span><span class="p">)</span><span class="w">
</span><span class="n">sf_japan_buffer</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">sf_japan</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_buffer</span><span class="p">(</span><span class="n">dist</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">200</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="m">1000</span><span class="p">)</span><span class="w">
</span><span class="c1"># filter the data</span><span class="w">
</span><span class="n">earthquakes_sftime_japan</span><span class="w"> </span><span class="o"><-</span><span class="w">
</span><span class="n">earthquakes_sftime</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_transform</span><span class="p">(</span><span class="n">crs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">2451</span><span class="p">)</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">filter</span><span class="p">(</span><span class="n">time</span><span class="w"> </span><span class="o">>=</span><span class="w"> </span><span class="n">as.POSIXct</span><span class="p">(</span><span class="s2">"2020-01-01 00:00:00"</span><span class="p">))</span><span class="w"> </span><span class="o">%>%</span><span class="w">
</span><span class="n">st_filter</span><span class="p">(</span><span class="n">sf_japan_buffer</span><span class="p">,</span><span class="w"> </span><span class="n">.predicate</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">st_within</span><span class="p">)</span><span class="w">
</span><span class="c1"># plot with tmap</span><span class="w">
</span><span class="n">library</span><span class="p">(</span><span class="n">tmap</span><span class="p">)</span><span class="w">
</span><span class="n">tm_shape</span><span class="p">(</span><span class="n">sf_japan_buffer</span><span class="p">)</span><span class="w"> </span><span class="o">+</span><span class="w">
</span><span class="n">tm_borders</span><span class="p">(</span><span class="n">lty</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">2</span><span class="p">)</span><span class="w"> </span><span class="o">+</span><span class="w">
</span><span class="n">tm_shape</span><span class="p">(</span><span class="n">sf_japan</span><span class="p">)</span><span class="w"> </span><span class="o">+</span><span class="w">
</span><span class="n">tm_polygons</span><span class="p">()</span><span class="w"> </span><span class="o">+</span><span class="w">
</span><span class="n">tm_shape</span><span class="p">(</span><span class="n">earthquakes_sftime_japan</span><span class="p">)</span><span class="w"> </span><span class="o">+</span><span class="w">
</span><span class="n">tm_bubbles</span><span class="p">(</span><span class="n">col</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"mag"</span><span class="p">,</span><span class="w"> </span><span class="n">scale</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">0.5</span><span class="p">,</span><span class="w"> </span><span class="n">title.col</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"Magnitude"</span><span class="p">)</span><span class="w">
</span></code></pre></div></div>
<p><img src="/images/figure-markdown_mmd/sftime3-1.png" alt="" /></p>
<h1 id="the-sftime-class">The <code class="language-plaintext highlighter-rouge">sftime</code> class</h1>
<h2 id="object-structure">Object structure</h2>
<p>The structure of <code class="language-plaintext highlighter-rouge">sftime</code> objects is simple when one <a href="https://r-spatial.org/r/2016/02/15/simple-features-for-r.html">already knows
<code class="language-plaintext highlighter-rouge">sf</code></a>
objects. <code class="language-plaintext highlighter-rouge">sftime</code> has an attribute <code class="language-plaintext highlighter-rouge">time_column</code> which defines one
column of an <code class="language-plaintext highlighter-rouge">sf</code> object as active time column.</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nf">attributes</span><span class="p">(</span><span class="n">head</span><span class="p">(</span><span class="n">storms_sftime</span><span class="p">))</span><span class="w"> </span><span class="c1"># head() to avoid too long output</span><span class="w">
</span><span class="c1">#> $names</span><span class="w">
</span><span class="c1">#> [1] "name" "year" "status" "category" "wind" </span><span class="w">
</span><span class="c1">#> [6] "pressure" "ts_diameter" "hu_diameter" "geometry" "time" </span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> $row.names</span><span class="w">
</span><span class="c1">#> [1] 1 2 3 4 5 6</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> $sf_column</span><span class="w">
</span><span class="c1">#> [1] "geometry"</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> $agr</span><span class="w">
</span><span class="c1">#> name year status category wind pressure </span><span class="w">
</span><span class="c1">#> <NA> <NA> <NA> <NA> <NA> <NA> </span><span class="w">
</span><span class="c1">#> ts_diameter hu_diameter time </span><span class="w">
</span><span class="c1">#> <NA> <NA> <NA> </span><span class="w">
</span><span class="c1">#> Levels: constant aggregate identity</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> $class</span><span class="w">
</span><span class="c1">#> [1] "sftime" "sf" "tbl_df" "tbl" "data.frame"</span><span class="w">
</span><span class="c1">#> </span><span class="w">
</span><span class="c1">#> $time_column</span><span class="w">
</span><span class="c1">#> [1] "time"</span><span class="w">
</span></code></pre></div></div>
<h2 id="conversion-from-and-to-sftime">Conversion from and to <code class="language-plaintext highlighter-rouge">sftime</code></h2>
<p><code class="language-plaintext highlighter-rouge">sftime</code> objects can be created from and converted to the following
classes:</p>
<table class=" lightable-paper" style="font-family: "Arial Narrow", arial, helvetica, sans-serif; margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;">
From
</th>
<th style="text-align:left;">
To
</th>
<th style="text-align:left;">
Methods
</th>
<th style="text-align:left;">
Side effects
</th>
<th style="text-align:left;">
Examples
</th>
</tr>
</thead>
<tbody>
<tr grouplength="10">
<td colspan="5" style="border-bottom: 1px solid #00000020;">
<p><strong>To <code class="language-plaintext highlighter-rouge">sftime</code></strong></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">sf</code> (package: <code class="language-plaintext highlighter-rouge">sf</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code>, <code class="language-plaintext highlighter-rouge">st_sftime()</code>, <code class="language-plaintext highlighter-rouge">st_set_time()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p>See this blogpost.</p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">stars</code> (package: <code class="language-plaintext highlighter-rouge">stars</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime(stars::st_as_stars(earthquakes_sftime), time_column_name = "time")</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime(earthquakes_sftime)</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">data.frame</code> (package: <code class="language-plaintext highlighter-rouge">base</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code>, <code class="language-plaintext highlighter-rouge">st_sftime()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime(as.data.frame(earthquakes_sftime), time_column_name = "time")</code>;
<code class="language-plaintext highlighter-rouge">st_sftime(as.data.frame(earthquakes_sftime), time_column_name = "time")</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">tbl_df</code> (package: <code class="language-plaintext highlighter-rouge">tibble</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code>, <code class="language-plaintext highlighter-rouge">st_sftime()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime(tibble::as_tibble(earthquakes_sftime), time_column_name = "time")</code>;
<code class="language-plaintext highlighter-rouge">st_sftime(tibble::as_tibble(earthquakes_sftime), time_column_name = "time")</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">STI</code> (package: <code class="language-plaintext highlighter-rouge">spacetime</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p>See <code class="language-plaintext highlighter-rouge">?st_as_sftime</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">STIDF</code> (package: <code class="language-plaintext highlighter-rouge">spacetime</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p>See <code class="language-plaintext highlighter-rouge">?st_as_sftime</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">Track</code> (package: <code class="language-plaintext highlighter-rouge">trajectories</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p>See <code class="language-plaintext highlighter-rouge">?st_as_sftime</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">Tracks</code> (package: <code class="language-plaintext highlighter-rouge">trajectories</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code></p>
</td>
<td style="text-align:left;">
<p>Adds a column <code class="language-plaintext highlighter-rouge">track_name</code>.</p>
</td>
<td style="text-align:left;">
<p>See <code class="language-plaintext highlighter-rouge">?st_as_sftime</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">TracksCollection</code> (package: <code class="language-plaintext highlighter-rouge">trajectories</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_as_sftime()</code></p>
</td>
<td style="text-align:left;">
<p>Adds columns <code class="language-plaintext highlighter-rouge">track_name</code> and <code class="language-plaintext highlighter-rouge">tracks_name</code>.</p>
</td>
<td style="text-align:left;">
<p>See <code class="language-plaintext highlighter-rouge">?st_as_sftime</code></p>
</td>
</tr>
<tr grouplength="4">
<td colspan="5" style="border-bottom: 1px solid #00000020;">
<p><strong>From <code class="language-plaintext highlighter-rouge">sftime</code></strong></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">data.frame</code> (package: <code class="language-plaintext highlighter-rouge">base</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">as.data.frame()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">as.data.frame(earthquakes_sftime)</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">tibble</code> (package: <code class="language-plaintext highlighter-rouge">tibble</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">tibble::as_tibble()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">tibble::as_tibble(earthquakes_sftime)</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">stars</code> (package: <code class="language-plaintext highlighter-rouge">stars</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">stars::st_as_stars()</code></p>
</td>
<td style="text-align:left;"></td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">stars::st_as_stars(earthquakes_sftime)</code></p>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
<p><code class="language-plaintext highlighter-rouge">sftime</code></p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">sf</code> (package: <code class="language-plaintext highlighter-rouge">sf</code>)</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_drop_time()</code></p>
</td>
<td style="text-align:left;">
<p>drops active time column</p>
</td>
<td style="text-align:left;">
<p><code class="language-plaintext highlighter-rouge">st_drop_time(earthquakes_sftime)</code></p>
</td>
</tr>
</tbody>
</table>
<h1 id="available-methods">Available methods</h1>
<p>Currently, the following methods are available for <code class="language-plaintext highlighter-rouge">sftime</code> objects:</p>
<div class="language-r highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="n">methods</span><span class="p">(</span><span class="n">class</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"sftime"</span><span class="p">)</span><span class="w">
</span><span class="c1">#> [1] [ [[<- $<- anti_join </span><span class="w">
</span><span class="c1">#> [5] arrange cbind distinct filter </span><span class="w">
</span><span class="c1">#> [9] full_join group_by inner_join left_join </span><span class="w">
</span><span class="c1">#> [13] mutate plot print rbind </span><span class="w">
</span><span class="c1">#> [17] rename right_join rowwise sample_frac </span><span class="w">
</span><span class="c1">#> [21] sample_n select semi_join slice </span><span class="w">
</span><span class="c1">#> [25] st_as_sftime st_cast st_crop st_difference </span><span class="w">
</span><span class="c1">#> [29] st_drop_geometry st_filter st_intersection st_join </span><span class="w">
</span><span class="c1">#> [33] st_sym_difference st_time st_time<- st_union </span><span class="w">
</span><span class="c1">#> [37] summarise summarize transform transmute </span><span class="w">
</span><span class="c1">#> [41] ungroup </span><span class="w">
</span><span class="c1">#> see '?methods' for accessing help and source code</span><span class="w">
</span></code></pre></div></div>
<h1 id="outlook">Outlook</h1>
<h2 id="gstat-and-spcopula-integration"><code class="language-plaintext highlighter-rouge">gstat</code> and <code class="language-plaintext highlighter-rouge">spcopula</code> integration</h2>
<p>In the upcoming months, <code class="language-plaintext highlighter-rouge">sftime</code> will be integrated with
<a href="https://github.com/r-spatial/gstat"><code class="language-plaintext highlighter-rouge">gstat</code></a> and
<a href="https://github.com/BenGraeler/spcopula"><code class="language-plaintext highlighter-rouge">spcopula</code></a> to support
spatiotemporal statistics (Kriging, spatiotemporal random fields) using
<code class="language-plaintext highlighter-rouge">sftime</code> objects as input.</p>
<p>For example, irregular spatiotemporal data from weather stations
(e.g. daily temperature records) can be spatiotemporally interpolated to
compute a raster time series of temperature values for a certain area.</p>
<p>The general idea is that in these cases, an <code class="language-plaintext highlighter-rouge">sftime</code> object is the input
for a spatiotemporal interpolation model, and a <code class="language-plaintext highlighter-rouge">stars</code> object is the
output.</p>
<h2 id="sftime-future-developments"><code class="language-plaintext highlighter-rouge">sftime</code>: future developments</h2>
<p>Also in the upcoming months, we will further develop the <code class="language-plaintext highlighter-rouge">sftime</code>
package by adding still missing methods applicable to <code class="language-plaintext highlighter-rouge">sf</code> objects and
conversion from <code class="language-plaintext highlighter-rouge">sftrack</code> and <code class="language-plaintext highlighter-rouge">sftraj</code> objects from the
<a href="https://github.com/mablab/sftrack"><code class="language-plaintext highlighter-rouge">sftrack</code></a>) package.</p>
<p>Any contributions here, including issues and pull requests are welcome.</p>
<h2 id="acknowledgment">Acknowledgment</h2>
<p>This project gratefully acknowledges financial
<a href="https://www.r-consortium.org/projects">support</a> from the</p>
<p><a href="https://www.r-consortium.org/projects/awarded-projects">
<img src="https://www.r-consortium.org/wp-content/uploads/sites/13/2016/09/RConsortium_Horizontal_Pantone.png" width="300" />
</a></p>
Marius Appel, Edzer Pebesma, Matthias Mohr
Cloud-based processing of satellite image collections in R using STAC, COGs, and on-demand data cubes
2021-04-23T00:00:00+00:00
https://www.r-spatial.org//r/2021/04/23/cloud-based-cubes.html
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font-style: normal;
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font-family: 'Roboto';
font-style: normal;
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font-style: normal;
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) 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P5wEBABkBAXAcIVHfzgDwr+ogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K/u0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf+7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY/AT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX/dQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K/XQYGf5XDB4CBggEDRkBqRkYAowKDsgOC/4+Cw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJy/ov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2+DCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ+AjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL/pYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ+AjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L/pcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv+lwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB/AI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA/K4KDw8KA1IKDw/9CDIKDw8KMgoPD9IBwgoPDwr+PgoPD74yCg8PCjIKDw/SAcIKDw8K/j4KDw++MgoPDwoyCg8P0gHCCg8PCv4+Cg8PvjIKDw8KMgoPD9IBwgoPDwr+PgoPDwSwDwr7ggoPDwoEfgoPyA8K/K4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT/tRSdmQpOzspA4QpOzsp/ageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE+ATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH+WwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT++uSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF//tQKDw8KASx03qP9wAwI/jQIDAwIAcwIDAwI/jQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ/AScmND8BNjIXAUEBAgkMDAn+/hUZ+goPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg+EeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY/ATYBQQECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK/RIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd+hGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk/nBkAfQCvMjI/tTIZAJY+7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs/UQBLGRkZAOEZGT+DGRkAfT+1AEsA4RkZGQCWP4MZMgBLAEsyGT+1AEs/tQBLMhkZGT+DP4MAfRk/tRkZGRkyGTI/tQBLMhkZGT+1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI/OD+1AEsyGRkyGRkASzIyMgD6PwYA+j8GAPo/BgD6PwYA+j7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI/jAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAwYCqggI/jAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg/9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj//wRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4+/j4dBLAdFfuCAbz+QwR/FR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY/ATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2/kQLEAFOBw45BhcKAcIKFwY+DgdTARABVpYKFgROBBYK/doKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw/+sf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg/+cA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP/agOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE+BAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT+z76Hh76H/u9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K/7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE/AQEDIQMCqQGBFCgSJQkK/l81LBFS/nk6IgsJKjIe/pM4HAwaBwcBj6wBVKIEr/waMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu/VoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU+ATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD+DCk7AQYLFyEaAdc5dWM+Hy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb/K5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK/gy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL/tQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI+AzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn+cAQOIhoWyBkYJhMZCwgyA+j7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI/OCnpwMgpwACACH/tQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ/nAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V/agVHR0VA+gVHR0V/BgVHR0VAyAVHR0V/OAVHR0VBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V/UQVHR2zBEwVHR0V+7QVHR3dArwVHR0V/UQVHR2zBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V/agVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V/OAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3+6WQVHR0VZBUdHf7pZBUdHRVkFR0d/ulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA/AAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA/AE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd/tQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3+1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG/5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V/gwVHR3++qfIyAHCASwVHR0V/tQVHR0VAlgVHR0V/agVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V/gwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd+7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3+1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH/0SHywsBIT+1AEsA+gsH/12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs/NJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7+4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4+rWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab/G8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ+BQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ/f4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA+hsAgYUFR0OFgoFBmz9BQGQMje7/pApOzspAfQpO8i7o/5wpbm5Azj+lqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp/gwpOzsptsj+tKW5uaUBkKW5/tf+ljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml/nClubkCfwFTCAj+rAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn+DCk7OymZZ6W5uaUBkKW5G/7TBxUH/s4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX+cKW5uQHKAYsHFQdlBwf97QcVB/gHB2UHFQdvCBQETBexOyn+DCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH+AcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE+AQgIFAgBBAcFCqrICggBCAgI/vgICsiqCgUH/vwIFAj++AgFCq/ICgj++AgIAQgICsivCgUDlgEICAj++AgKyK0KBAf+/AcVB/73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ/+MB0VZBUdHQRMHRX+SgHFDggV/BgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ/+MBUP/jAdFWQVHR0ETB0V/koBxQ4IFf5KAcUOCBX8GBUIDgHF/koVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ/+MBUP/hQPDwHsDxUB0A8VBBr8GBUIDgHF/koVCA4B4A4qDgHgDggV/koBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS/NISGRkEMv4OCx4L/g4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2+sgVHR0VyBUdHQGlyBUdHRXIFR0dA+gdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw/+FA8V/jAPFRUPAmQBthUIDv4gDioO/iAOCBUBtv47DggVA+gVCA4AAAH//gACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL+MQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX+OQ4JFAPoFQkP/j4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA+gVCA7+OwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW++4WCQ8B9Q8q/fcD6BUdHRX8GBUdHQQ5/eQPFhYPAhwP/UgdFWQVHR0VZBUdAAEAiP/8A3UESgAFAAAJAgcJAQN1/qABYMX92AIoA4T+n/6fxgIoAiYAAAAAAQE7//wEKARKAAUAAAkBJwkBNwQo/dnGAWH+n8YCI/3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4+rWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX+DBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm/5+HRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI/ARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ+AQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB/IHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm/4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ+AQUiDgMVFDsBFjc+ATMyFhUUBgciDgUHBhY7ATI+AzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ/eMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD/7UDwoyCg/IDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw+5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP/s2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA/AAAAMh4CFA4CIi4CND4BBCIOARQeATI+ATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb/oxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJyg2oHB/7ACBQIyggIagcVB0/FBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf+vwcHywcVB2oICE/FBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ+AQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV/t0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA/kAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ/AgoQEP32EBf92hUdHRUCJhcD8f5VDSYN/lUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3+3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN/lUNJg3+VQ0KFQEjHQSwHRX92hcQ/fYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ/AgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN/lUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I/iH+1BUdFQ5e+QgUCGoHB/leDggEsB0V/tQVCA5e+QcHaggUCPleDhX7UB0VASwVCA5e+QcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ/AScmNgP2agcH+V4OCBX+1BUdFQ5e+QgU/QwBLBUdFQ5e+QgUCGoHB/leDggEYGoIFAj5Xg4VHRUBLBUIDl75B/3xHRX+1BUIDl75BwdqCBQI+V4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3+DA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc+BAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP/nDI/nAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe/okKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf+iQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc+ATc+AScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy/t3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U/M0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc+ATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY+BDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA//cAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl+DiINfWjIWCwQMWv3/Iw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP/cAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ+BTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2/VFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP/ngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U/BQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR/plkGhPNzRMaZP6ZERgWDwFrBLBYPv6t/rsOMRQpFA0M+f75XRRAFRAJgIAJEBVAFF0BB/kMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA/AEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk/HxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd/nD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb/kPD/kOFZ/9qP7dFR0dFdECWPEV/amNetEVHR0VASMDGvkPD/kOFfG1jXqfFQSN5g4qDuYOCBWW/agdFWQVHQJYlhUI/piNeh0VZBUd/k3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7/tQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3+1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6+hUdHRX6+hUd/nD+1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB//8A1ARMA8IABQAAAQcJAScBBEzG/p/+n8UCJwGbxwFh/p/HAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH/p8BYQAAAAAC/1EAZAVfA+gAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW/oP+HOYOCBWWAYHX/RIVHZYVCA7mDioD6B0V/dkVDvkPD/kOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3+1B0qHR8SHQYFyTYUHh4EsBYQoiUY/iUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw+1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz+1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY/ATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO+Q8P+Q4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ/5Dg75DxUCWBUDYOUPKQ/lDwkUl5cUCQ/lDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt/BgpOzspA+gpOzv+q2RkZAGQAtwXLSgV/R1kOylkKTs7KWQpO8hkZGRkAAAAA/+cAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k/V0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj+7BAIHBUBUQ76AgQQDw36/tT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM+ATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU+LwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N/rmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI+ARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW+v4+Mv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3+qBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv/tQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo/rgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl+IZJZkMjIBwvoETCEY/qgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX+DBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP/qoHphwOOmQBJYMGGw/LFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7+rRUoog0CDRElCkj+CVkBUxUoMjIBAgIDBQIZFrdT5B0V/gwVHR0VAfQVHQAAAAP/nABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf+qg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH+Jd0PHAaCASZq/qoCUGQVHR0VZBUdHQRP5gEFEBEXC/3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE+AR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN/fMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V/gwVHR0FDm5UaoMGGw/+qgemHA4OAWsfFm4NAQxUAS5U1ssVExIW/jgCCgIJAwcDBQMBDBGSVv6tZAElgwYb/QsdFWQVHR0VZBUdAAP//QAGA+gFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM+BDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX+DBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf+qg8bBgHP/q1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob+7RAX/u0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm/453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX+7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm+jfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm/5AARMQEP7tEBf+7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg+JFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD+7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ+ASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY+ATc+AzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU/OR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg/KhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh+WYcrIgsW/awQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA+gpOzsp/BgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH+1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E/tTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv+DMj+DDspASw7KcgB9Dsp/BgpOwSwOylkOyn+cGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj+L2oHB8deDggV/tQVHRUOXscIFALLXg4VHRX+1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX+1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX+1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5/d8t2gXl6gAcbgv29vv+C/b2/+LS0gIC0gAUwtICAWDg83ETNIMykfegEJ/octICAtIAIdLSAgLSAEqF+f3fLdoF5eoN3y3Z9Xb7/gv29vv+C/BiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf/YAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr+qw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB/0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH/6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6+RAH/SBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg+PqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB/slVVsn+AeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn/8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ/ARYfAQcXAQKru0KNQjgiHR8uEl/3/nvUaRONQkIBGxJpCgmNQkL+5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl/4/nvUahKNQrpCARv+RmkICY1CukL+5UJCjUK7Qjc3LxFf+AGFAAAAAAMAyAAAA+gEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7/Vj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8/RY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT+6dT+zP7oywEz0gEsAQsjDx0qBKH+5g8qHQ8j/vX+1NL+zcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH/s0NBxMtPGQ+i6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ/soCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc+ATM2FjMyNxcOAyMiLgEHDgEPASc+BTc+AScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig/IhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn//wSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF+YOCBWWyJYVCA7mDioBLBYO+g8P+g4WA4QQ+Q4V/HwDhBUO+Q8AAAQAGf//A+gEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI/tTIyAEsArxkZAH0/HwWDvoPD/oOFgOEZMjI/RL6ZJb6ZAAAAAAEABn//wPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO+g8P+g4WA4SW+mSW+mT7UGRkAfRkyMgAAAAEABn//wRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD/oOFgOE/gwBkGT7UGQBkGTIyAAAAAAEABn//wRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD/oOFgOE/gxkAZBkyMj7tAGQZAAAAAAFABn//wSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk/nABkGT+DAH0ASwWDvoPD/oOFgOEyMj+DMj+DMj+DMgABQAZ//8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD+DAH0ZP5wAZBk/tQBLGTIyAEsFg76Dw/6DhYDhMjI/gzI/gzI/gzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P+cKW5uQJn/gwpOzspAfQpOzsETLuj/nClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml/nCju7wCZP4MKTs7KQH0KTs7/m/9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn+DCk7OykB9Ck7gr4MJAy+DAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX+cKW5uQJn/gwpOzspAfQpOzv+FQGQFQsMvgwkDL4MCwRMvKL+cKW5uaUBkKO7yDsp/gwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf+DCk7OykB9Ck7O/77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn+DCk7OykB9Ck7z/0QGBgQ/REAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX+cBUdHRUBwik7Oyn+PhUdHb8BRBAQ/rwQFvoVHR0V+hYETLml/nCluR0VZBUdOykB9Ck7HRVkFR3p/uQOJg7+5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B/vf+8wQMDgkJCQUCUCcn/tIXCAoQSwENuwUJEASeCQoRC/5TBwEjEv7K/sUFDwgLFQnlbm4TFRRWAS/TBhAAAAACAAAAAAT+BEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4+KTs7KQHCFR0dFf5wpbm5AvEBRBAQ/rwQFvoVHR0V+hYETB0VZBUdOyn+DCk7HRVkFR25pQGQpbnp/uQOJg7+5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj+75wpOzspAfQpO8i7o/5wpbm5pQEsBLAdFf5wFQgObf7IDw+NDykPAThtDhX+1Dsp/gwpOzsplMj+1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx/nugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO/oEOJw3+hQ0JFfod/oUD6BUd+7QdA2dkBLAdFf6iFg/+Vg8PAaoPFgFeFR38fB0V+voVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE+AQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n/fkD6BUd+7QdA2dkBJ7+TQ8g+hQeHRX6IQ8BrxAC/H8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB/7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH/fMICAEjCBQIiwcH/dIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY/ASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A+gVHfu0HQNnZAP/jg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V+voVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ/AQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A+gVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3+WB0V+voVHWQyMgACAAT/7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d/sb+cQSs/TMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V+gH0ZMhkZAPo/K4VHQGQ/nAdFQPoFB7+1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC/tVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf+XAgUCMoICGoHFQdPASkHFQPolf7VXwkJk/5wHRUD6BQe/tQBLMjI/c5qBxUH/lsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72/reWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykD6P7zZ4YPAw7+9v5wHRUD6BQe/tQBLMjI/YxGDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM/qIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA+j+1B0Vlv5wHRUD6BQe/tQBLMjI/agdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75/m6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P/vf+cB0VA+gUHv7UASzIyP2F5Q8V+hQeHhT6FQ/lDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd+1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U/doVHR0VAib+1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX+cAGQFf0vMhUdHRUyyGRk/oL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI/oUdFWQVHcjI/cvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ+AzMyFh8BETMRPAE+AjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX+4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH/uuFR0dFQGNAQgbHzUeAWcfRJEZDA3+Phw/MSkLC/5BFR0dFQG/BA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn+DBlL/nAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr+diUNODgBBQoUDgN4FhkBAjg4DSX+dgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn+2cj+cGQBd/4lASwpOzsp/tQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn+DCk7OykB9Ck7ZMjI/veFo4XGyMhm+BUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE+BRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB/LimdWQ/LAkJHRTKFB2N/sKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V+7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy/tEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI/OAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7/Rv+1DspZCk7BEw7KfwYA+gpO/7UOyn9RAK8KTv84AGQKTs7KQAAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkyMhkZARMsHz+DHywsHwB9HywyP1EArzIZP7UZGQBLGT+1GQB9GT+1AEsAAAABf+cAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE/gxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI/UQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP+cAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj+1AEsAZDIyP7UASwETLB8/gx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP+cAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE/gz+1AEsAZD+1ARMsHz+DHywsHwB9HywyP1EArz+DJaWlpYBLAAAAAX/nAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8/gx8sLB8AfR8sMj9RAK8/agB9GRWQUFUASz+1FRBQVYAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkZMjIZGQETLB8/gx8sLB8AfR8sMj9RAK8yGT+1GRkASz+DAGQZP4MZAAG/5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8/UR8sLAYA4T9RMj+1GQCWGRkyP2oZAEsZGQETLB8/gx8sLB8AfR8sMj9RAK8yP5wAfT+DAGQZMjIyP7UZAAF/5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI/UQCvP5wyDLIlmT+DAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz+1AEs/tRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv/y/50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V/tQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi/bMPCv7tFxD0EBD0EBcBEwoPAAAAAAL/8v+cBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr+hg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ+teGOkHAFoEBD+k3NPRWsOExNkqWP9kuQQF/7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD+8qr+8qr+1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3+s/7U/tRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd/tQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd+x5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc+ATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ/j0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb/7V/tVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s/oQPCgI/ASzIZKLU1KJktP51Cg8DhA8KwwMg/oTIyALzCg/+1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz+ov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9+AFe/doERwoP/tTI/HzIyNT+ZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT+ogHCJCsRBP5w/nAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX+1BUdHRUyHQFzKTs7Kf2oARP2/ro7KVg+ASw+WP201MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7KfzgKTsE9gFGAUQpO5Y+WFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG/2oKTs7KVg+ASw+WAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7Kf4M/tQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP/ogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs+wQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf+TB0U/tIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K+goPDwr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPDwRMDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg/+1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko/PwoKUIcMT4BXmRkyP4+ArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3+1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq/9WrIiCikBSAOvArwVHR0VlgET/EoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb+lR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf+vCcrI/7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW/us5Okxra0w6Of5yHSodZGQdKh3+1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ/68Jysj/s0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2+jGv4KOTpMa2tMOjn+ch0qHWRkHSod/tQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ+AjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz+1CU/P00T/e48PUJtj0r+ogK8FR0dFQ2K/EqJDBUdHbMETBUd+1AdBLChizlmUT9IGVO9VFShdksE/H4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA+gFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U/5wU3V1BRQ7KU4aXDYyMjZcGk4p/kc2LmRkZGRkU3V1UwGQU3UAAAMAZP//BEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr+5eANGiUNWP30Vw0mGg3g/t8KDw8BqmQBRGQETB0V/gwVHR0VAfQVHf1EDwoyCg/gDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn+1AEsKTv+DDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg/4f/fsgIAEnH1n+rAFWAS/+q6IDIBUd/HwdBI39VR9ZH4MCBh9ZHwEoH/5u/qoBMAFV/BsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV/nAVJwi9CBMVAnEdKh19FROo/a0dFTIdFTDILxUdMhUdAocB+hMcHBP+BhMclhUdHRWWHP2MMhUdMhUdASz+1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr+if7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD/7UyP4M/cEKDw8KA7YKD/7UyAAC/5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc+ARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF+goPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb/nP/mBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL/CtqQ0geZgM3FR0cE/0fFyIJKjr+1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g+yD5YrBwVODMQEAtEERzJLUAtLUD+24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz++QFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg/+1MgVHR0LCgQOIhoW/nDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb+YDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj/sIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn+PilUrAFINhWWFTYFFKxn/gwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn+PilUrAFINhWWFTYFFJaz/kIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO/YL+hk5klpZkAQEBBQQvkwKCAVz+ov6iAV4BXgL//uWqPOCWx5SVyJb6BA0GCgYDKEEBG/1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz+yFh8WFh8/shYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP/nAPCpYKDw8KlgoP/nAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o/4Mpbm5Asv9qCk7OykCWCk7O/2xAfQVHR0V/gwVHR1HAZAEsLuj/gylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX+1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA+gVHR0VMjIVHR0VMjIVHR0VMjIVHR0V/BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA+gEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8/V1c/P/75fLB8sAK8sHyw/cB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy/sCwfLB8fLB8sP7UsHywfHywfLD+05AVHR0VjgQAAAH/tQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BN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<script>(function() {
// If window.HTMLWidgets is already defined, then use it; otherwise create a
// new object. This allows preceding code to set options that affect the
// initialization process (though none currently exist).
window.HTMLWidgets = window.HTMLWidgets || {};
// See if we're running in a viewer pane. If not, we're in a web browser.
var viewerMode = window.HTMLWidgets.viewerMode =
/\bviewer_pane=1\b/.test(window.location);
// See if we're running in Shiny mode. If not, it's a static document.
// Note that static widgets can appear in both Shiny and static modes, but
// obviously, Shiny widgets can only appear in Shiny apps/documents.
var shinyMode = window.HTMLWidgets.shinyMode =
typeof(window.Shiny) !== "undefined" && !!window.Shiny.outputBindings;
// We can't count on jQuery being available, so we implement our own
// version if necessary.
function querySelectorAll(scope, selector) {
if (typeof(jQuery) !== "undefined" && scope instanceof jQuery) {
return scope.find(selector);
}
if (scope.querySelectorAll) {
return scope.querySelectorAll(selector);
}
}
function asArray(value) {
if (value === null)
return [];
if ($.isArray(value))
return value;
return [value];
}
// Implement jQuery's extend
function extend(target /*, ... */) {
if (arguments.length == 1) {
return target;
}
for (var i = 1; i < arguments.length; i++) {
var source = arguments[i];
for (var prop in source) {
if (source.hasOwnProperty(prop)) {
target[prop] = source[prop];
}
}
}
return target;
}
// IE8 doesn't support Array.forEach.
function forEach(values, callback, thisArg) {
if (values.forEach) {
values.forEach(callback, thisArg);
} else {
for (var i = 0; i < values.length; i++) {
callback.call(thisArg, values[i], i, values);
}
}
}
// Replaces the specified method with the return value of funcSource.
//
// Note that funcSource should not BE the new method, it should be a function
// that RETURNS the new method. funcSource receives a single argument that is
// the overridden method, it can be called from the new method. The overridden
// method can be called like a regular function, it has the target permanently
// bound to it so "this" will work correctly.
function overrideMethod(target, methodName, funcSource) {
var superFunc = target[methodName] || function() {};
var superFuncBound = function() {
return superFunc.apply(target, arguments);
};
target[methodName] = funcSource(superFuncBound);
}
// Add a method to delegator that, when invoked, calls
// delegatee.methodName. If there is no such method on
// the delegatee, but there was one on delegator before
// delegateMethod was called, then the original version
// is invoked instead.
// For example:
//
// var a = {
// method1: function() { console.log('a1'); }
// method2: function() { console.log('a2'); }
// };
// var b = {
// method1: function() { console.log('b1'); }
// };
// delegateMethod(a, b, "method1");
// delegateMethod(a, b, "method2");
// a.method1();
// a.method2();
//
// The output would be "b1", "a2".
function delegateMethod(delegator, delegatee, methodName) {
var inherited = delegator[methodName];
delegator[methodName] = function() {
var target = delegatee;
var method = delegatee[methodName];
// The method doesn't exist on the delegatee. Instead,
// call the method on the delegator, if it exists.
if (!method) {
target = delegator;
method = inherited;
}
if (method) {
return method.apply(target, arguments);
}
};
}
// Implement a vague facsimilie of jQuery's data method
function elementData(el, name, value) {
if (arguments.length == 2) {
return el["htmlwidget_data_" + name];
} else if (arguments.length == 3) {
el["htmlwidget_data_" + name] = value;
return el;
} else {
throw new Error("Wrong number of arguments for elementData: " +
arguments.length);
}
}
// http://stackoverflow.com/questions/3446170/escape-string-for-use-in-javascript-regex
function escapeRegExp(str) {
return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, "\\$&");
}
function hasClass(el, className) {
var re = new RegExp("\\b" + escapeRegExp(className) + "\\b");
return re.test(el.className);
}
// elements - array (or array-like object) of HTML elements
// className - class name to test for
// include - if true, only return elements with given className;
// if false, only return elements *without* given className
function filterByClass(elements, className, include) {
var results = [];
for (var i = 0; i < elements.length; i++) {
if (hasClass(elements[i], className) == include)
results.push(elements[i]);
}
return results;
}
function on(obj, eventName, func) {
if (obj.addEventListener) {
obj.addEventListener(eventName, func, false);
} else if (obj.attachEvent) {
obj.attachEvent(eventName, func);
}
}
function off(obj, eventName, func) {
if (obj.removeEventListener)
obj.removeEventListener(eventName, func, false);
else if (obj.detachEvent) {
obj.detachEvent(eventName, func);
}
}
// Translate array of values to top/right/bottom/left, as usual with
// the "padding" CSS property
// https://developer.mozilla.org/en-US/docs/Web/CSS/padding
function unpackPadding(value) {
if (typeof(value) === "number")
value = [value];
if (value.length === 1) {
return {top: value[0], right: value[0], bottom: value[0], left: value[0]};
}
if (value.length === 2) {
return {top: value[0], right: value[1], bottom: value[0], left: value[1]};
}
if (value.length === 3) {
return {top: value[0], right: value[1], bottom: value[2], left: value[1]};
}
if (value.length === 4) {
return {top: value[0], right: value[1], bottom: value[2], left: value[3]};
}
}
// Convert an unpacked padding object to a CSS value
function paddingToCss(paddingObj) {
return paddingObj.top + "px " + paddingObj.right + "px " + paddingObj.bottom + "px " + paddingObj.left + "px";
}
// Makes a number suitable for CSS
function px(x) {
if (typeof(x) === "number")
return x + "px";
else
return x;
}
// Retrieves runtime widget sizing information for an element.
// The return value is either null, or an object with fill, padding,
// defaultWidth, defaultHeight fields.
function sizingPolicy(el) {
var sizingEl = document.querySelector("script[data-for='" + el.id + "'][type='application/htmlwidget-sizing']");
if (!sizingEl)
return null;
var sp = JSON.parse(sizingEl.textContent || sizingEl.text || "{}");
if (viewerMode) {
return sp.viewer;
} else {
return sp.browser;
}
}
// @param tasks Array of strings (or falsy value, in which case no-op).
// Each element must be a valid JavaScript expression that yields a
// function. Or, can be an array of objects with "code" and "data"
// properties; in this case, the "code" property should be a string
// of JS that's an expr that yields a function, and "data" should be
// an object that will be added as an additional argument when that
// function is called.
// @param target The object that will be "this" for each function
// execution.
// @param args Array of arguments to be passed to the functions. (The
// same arguments will be passed to all functions.)
function evalAndRun(tasks, target, args) {
if (tasks) {
forEach(tasks, function(task) {
var theseArgs = args;
if (typeof(task) === "object") {
theseArgs = theseArgs.concat([task.data]);
task = task.code;
}
var taskFunc = tryEval(task);
if (typeof(taskFunc) !== "function") {
throw new Error("Task must be a function! Source:\n" + task);
}
taskFunc.apply(target, theseArgs);
});
}
}
// Attempt eval() both with and without enclosing in parentheses.
// Note that enclosing coerces a function declaration into
// an expression that eval() can parse
// (otherwise, a SyntaxError is thrown)
function tryEval(code) {
var result = null;
try {
result = eval("(" + code + ")");
} catch(error) {
if (!error instanceof SyntaxError) {
throw error;
}
try {
result = eval(code);
} catch(e) {
if (e instanceof SyntaxError) {
throw error;
} else {
throw e;
}
}
}
return result;
}
function initSizing(el) {
var sizing = sizingPolicy(el);
if (!sizing)
return;
var cel = document.getElementById("htmlwidget_container");
if (!cel)
return;
if (typeof(sizing.padding) !== "undefined") {
document.body.style.margin = "0";
document.body.style.padding = paddingToCss(unpackPadding(sizing.padding));
}
if (sizing.fill) {
document.body.style.overflow = "hidden";
document.body.style.width = "100%";
document.body.style.height = "100%";
document.documentElement.style.width = "100%";
document.documentElement.style.height = "100%";
if (cel) {
cel.style.position = "absolute";
var pad = unpackPadding(sizing.padding);
cel.style.top = pad.top + "px";
cel.style.right = pad.right + "px";
cel.style.bottom = pad.bottom + "px";
cel.style.left = pad.left + "px";
el.style.width = "100%";
el.style.height = "100%";
}
return {
getWidth: function() { return cel.offsetWidth; },
getHeight: function() { return cel.offsetHeight; }
};
} else {
el.style.width = px(sizing.width);
el.style.height = px(sizing.height);
return {
getWidth: function() { return el.offsetWidth; },
getHeight: function() { return el.offsetHeight; }
};
}
}
// Default implementations for methods
var defaults = {
find: function(scope) {
return querySelectorAll(scope, "." + this.name);
},
renderError: function(el, err) {
var $el = $(el);
this.clearError(el);
// Add all these error classes, as Shiny does
var errClass = "shiny-output-error";
if (err.type !== null) {
// use the classes of the error condition as CSS class names
errClass = errClass + " " + $.map(asArray(err.type), function(type) {
return errClass + "-" + type;
}).join(" ");
}
errClass = errClass + " htmlwidgets-error";
// Is el inline or block? If inline or inline-block, just display:none it
// and add an inline error.
var display = $el.css("display");
$el.data("restore-display-mode", display);
if (display === "inline" || display === "inline-block") {
$el.hide();
if (err.message !== "") {
var errorSpan = $("<span>").addClass(errClass);
errorSpan.text(err.message);
$el.after(errorSpan);
}
} else if (display === "block") {
// If block, add an error just after the el, set visibility:none on the
// el, and position the error to be on top of the el.
// Mark it with a unique ID and CSS class so we can remove it later.
$el.css("visibility", "hidden");
if (err.message !== "") {
var errorDiv = $("<div>").addClass(errClass).css("position", "absolute")
.css("top", el.offsetTop)
.css("left", el.offsetLeft)
// setting width can push out the page size, forcing otherwise
// unnecessary scrollbars to appear and making it impossible for
// the element to shrink; so use max-width instead
.css("maxWidth", el.offsetWidth)
.css("height", el.offsetHeight);
errorDiv.text(err.message);
$el.after(errorDiv);
// Really dumb way to keep the size/position of the error in sync with
// the parent element as the window is resized or whatever.
var intId = setInterval(function() {
if (!errorDiv[0].parentElement) {
clearInterval(intId);
return;
}
errorDiv
.css("top", el.offsetTop)
.css("left", el.offsetLeft)
.css("maxWidth", el.offsetWidth)
.css("height", el.offsetHeight);
}, 500);
}
}
},
clearError: function(el) {
var $el = $(el);
var display = $el.data("restore-display-mode");
$el.data("restore-display-mode", null);
if (display === "inline" || display === "inline-block") {
if (display)
$el.css("display", display);
$(el.nextSibling).filter(".htmlwidgets-error").remove();
} else if (display === "block"){
$el.css("visibility", "inherit");
$(el.nextSibling).filter(".htmlwidgets-error").remove();
}
},
sizing: {}
};
// Called by widget bindings to register a new type of widget. The definition
// object can contain the following properties:
// - name (required) - A string indicating the binding name, which will be
// used by default as the CSS classname to look for.
// - initialize (optional) - A function(el) that will be called once per
// widget element; if a value is returned, it will be passed as the third
// value to renderValue.
// - renderValue (required) - A function(el, data, initValue) that will be
// called with data. Static contexts will cause this to be called once per
// element; Shiny apps will cause this to be called multiple times per
// element, as the data changes.
window.HTMLWidgets.widget = function(definition) {
if (!definition.name) {
throw new Error("Widget must have a name");
}
if (!definition.type) {
throw new Error("Widget must have a type");
}
// Currently we only support output widgets
if (definition.type !== "output") {
throw new Error("Unrecognized widget type '" + definition.type + "'");
}
// TODO: Verify that .name is a valid CSS classname
// Support new-style instance-bound definitions. Old-style class-bound
// definitions have one widget "object" per widget per type/class of
// widget; the renderValue and resize methods on such widget objects
// take el and instance arguments, because the widget object can't
// store them. New-style instance-bound definitions have one widget
// object per widget instance; the definition that's passed in doesn't
// provide renderValue or resize methods at all, just the single method
// factory(el, width, height)
// which returns an object that has renderValue(x) and resize(w, h).
// This enables a far more natural programming style for the widget
// author, who can store per-instance state using either OO-style
// instance fields or functional-style closure variables (I guess this
// is in contrast to what can only be called C-style pseudo-OO which is
// what we required before).
if (definition.factory) {
definition = createLegacyDefinitionAdapter(definition);
}
if (!definition.renderValue) {
throw new Error("Widget must have a renderValue function");
}
// For static rendering (non-Shiny), use a simple widget registration
// scheme. We also use this scheme for Shiny apps/documents that also
// contain static widgets.
window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || [];
// Merge defaults into the definition; don't mutate the original definition.
var staticBinding = extend({}, defaults, definition);
overrideMethod(staticBinding, "find", function(superfunc) {
return function(scope) {
var results = superfunc(scope);
// Filter out Shiny outputs, we only want the static kind
return filterByClass(results, "html-widget-output", false);
};
});
window.HTMLWidgets.widgets.push(staticBinding);
if (shinyMode) {
// Shiny is running. Register the definition with an output binding.
// The definition itself will not be the output binding, instead
// we will make an output binding object that delegates to the
// definition. This is because we foolishly used the same method
// name (renderValue) for htmlwidgets definition and Shiny bindings
// but they actually have quite different semantics (the Shiny
// bindings receive data that includes lots of metadata that it
// strips off before calling htmlwidgets renderValue). We can't
// just ignore the difference because in some widgets it's helpful
// to call this.renderValue() from inside of resize(), and if
// we're not delegating, then that call will go to the Shiny
// version instead of the htmlwidgets version.
// Merge defaults with definition, without mutating either.
var bindingDef = extend({}, defaults, definition);
// This object will be our actual Shiny binding.
var shinyBinding = new Shiny.OutputBinding();
// With a few exceptions, we'll want to simply use the bindingDef's
// version of methods if they are available, otherwise fall back to
// Shiny's defaults. NOTE: If Shiny's output bindings gain additional
// methods in the future, and we want them to be overrideable by
// HTMLWidget binding definitions, then we'll need to add them to this
// list.
delegateMethod(shinyBinding, bindingDef, "getId");
delegateMethod(shinyBinding, bindingDef, "onValueChange");
delegateMethod(shinyBinding, bindingDef, "onValueError");
delegateMethod(shinyBinding, bindingDef, "renderError");
delegateMethod(shinyBinding, bindingDef, "clearError");
delegateMethod(shinyBinding, bindingDef, "showProgress");
// The find, renderValue, and resize are handled differently, because we
// want to actually decorate the behavior of the bindingDef methods.
shinyBinding.find = function(scope) {
var results = bindingDef.find(scope);
// Only return elements that are Shiny outputs, not static ones
var dynamicResults = results.filter(".html-widget-output");
// It's possible that whatever caused Shiny to think there might be
// new dynamic outputs, also caused there to be new static outputs.
// Since there might be lots of different htmlwidgets bindings, we
// schedule execution for later--no need to staticRender multiple
// times.
if (results.length !== dynamicResults.length)
scheduleStaticRender();
return dynamicResults;
};
// Wrap renderValue to handle initialization, which unfortunately isn't
// supported natively by Shiny at the time of this writing.
shinyBinding.renderValue = function(el, data) {
Shiny.renderDependencies(data.deps);
// Resolve strings marked as javascript literals to objects
if (!(data.evals instanceof Array)) data.evals = [data.evals];
for (var i = 0; data.evals && i < data.evals.length; i++) {
window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]);
}
if (!bindingDef.renderOnNullValue) {
if (data.x === null) {
el.style.visibility = "hidden";
return;
} else {
el.style.visibility = "inherit";
}
}
if (!elementData(el, "initialized")) {
initSizing(el);
elementData(el, "initialized", true);
if (bindingDef.initialize) {
var result = bindingDef.initialize(el, el.offsetWidth,
el.offsetHeight);
elementData(el, "init_result", result);
}
}
bindingDef.renderValue(el, data.x, elementData(el, "init_result"));
evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]);
};
// Only override resize if bindingDef implements it
if (bindingDef.resize) {
shinyBinding.resize = function(el, width, height) {
// Shiny can call resize before initialize/renderValue have been
// called, which doesn't make sense for widgets.
if (elementData(el, "initialized")) {
bindingDef.resize(el, width, height, elementData(el, "init_result"));
}
};
}
Shiny.outputBindings.register(shinyBinding, bindingDef.name);
}
};
var scheduleStaticRenderTimerId = null;
function scheduleStaticRender() {
if (!scheduleStaticRenderTimerId) {
scheduleStaticRenderTimerId = setTimeout(function() {
scheduleStaticRenderTimerId = null;
window.HTMLWidgets.staticRender();
}, 1);
}
}
// Render static widgets after the document finishes loading
// Statically render all elements that are of this widget's class
window.HTMLWidgets.staticRender = function() {
var bindings = window.HTMLWidgets.widgets || [];
forEach(bindings, function(binding) {
var matches = binding.find(document.documentElement);
forEach(matches, function(el) {
var sizeObj = initSizing(el, binding);
if (hasClass(el, "html-widget-static-bound"))
return;
el.className = el.className + " html-widget-static-bound";
var initResult;
if (binding.initialize) {
initResult = binding.initialize(el,
sizeObj ? sizeObj.getWidth() : el.offsetWidth,
sizeObj ? sizeObj.getHeight() : el.offsetHeight
);
elementData(el, "init_result", initResult);
}
if (binding.resize) {
var lastSize = {
w: sizeObj ? sizeObj.getWidth() : el.offsetWidth,
h: sizeObj ? sizeObj.getHeight() : el.offsetHeight
};
var resizeHandler = function(e) {
var size = {
w: sizeObj ? sizeObj.getWidth() : el.offsetWidth,
h: sizeObj ? sizeObj.getHeight() : el.offsetHeight
};
if (size.w === 0 && size.h === 0)
return;
if (size.w === lastSize.w && size.h === lastSize.h)
return;
lastSize = size;
binding.resize(el, size.w, size.h, initResult);
};
on(window, "resize", resizeHandler);
// This is needed for cases where we're running in a Shiny
// app, but the widget itself is not a Shiny output, but
// rather a simple static widget. One example of this is
// an rmarkdown document that has runtime:shiny and widget
// that isn't in a render function. Shiny only knows to
// call resize handlers for Shiny outputs, not for static
// widgets, so we do it ourselves.
if (window.jQuery) {
window.jQuery(document).on(
"shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets",
resizeHandler
);
window.jQuery(document).on(
"hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets",
resizeHandler
);
}
// This is needed for the specific case of ioslides, which
// flips slides between display:none and display:block.
// Ideally we would not have to have ioslide-specific code
// here, but rather have ioslides raise a generic event,
// but the rmarkdown package just went to CRAN so the
// window to getting that fixed may be long.
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binding.renderValue(el, data.x, initResult);
evalAndRun(data.jsHooks.render, initResult, [el, data.x]);
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invokePostRenderHandlers();
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return false;
}
var $version = window.jQuery.fn.jquery;
var $major_version = parseInt($version.split(".")[0]);
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}
/*
/ Shiny 1.4 bumped jQuery from 1.x to 3.x which means jQuery's
/ on-ready handler (i.e., $(fn)) is now asyncronous (i.e., it now
/ really means $(setTimeout(fn)).
/ https://jquery.com/upgrade-guide/3.0/#breaking-change-document-ready-handlers-are-now-asynchronous
/
/ Since Shiny uses $() to schedule initShiny, shiny>=1.4 calls initShiny
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/ called renderValue() earlier than (advanced) widget authors might be expecting.
/ https://github.com/rstudio/shiny/issues/2630
/
/ For a concrete example, leaflet has some methods (e.g., updateBounds)
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/
/ Ideally widget authors wouldn't need to use this setTimeout() hack that
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*/
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window.HTMLWidgets.dataframeToD3 = function(df) {
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var results = [];
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results.push(item);
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return results;
};
window.HTMLWidgets.transposeArray2D = function(array) {
if (array.length === 0) return array;
var newArray = array[0].map(function(col, i) {
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// Function authored by Yihui/JJ Allaire
window.HTMLWidgets.evaluateStringMember = function(o, member) {
var parts = splitWithEscape(member, '.', '\\');
for (var i = 0, l = parts.length; i < l; i++) {
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window.HTMLWidgets.getInstance = function(el) {
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// an HTMLWidget binding's initialize() or factory() function)
// associated with that element, if any. If no element matches the
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//
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window.HTMLWidgets.find = function(scope, selector) {
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selector = scope;
scope = document;
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var el = scope.querySelector(selector);
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}
};
// Finds all elements in the scope that match the selector, and
// returns the HTMLWidget instances (i.e. the return values of
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// associated with the elements, in an array. If elements that
// match the selector don't have an associated HTMLWidget
// instance, the returned array will contain nulls.
//
// The scope argument is optional, and defaults to window.document.
window.HTMLWidgets.findAll = function(scope, selector) {
if (arguments.length == 1) {
selector = scope;
scope = document;
}
var nodes = scope.querySelectorAll(selector);
var results = [];
for (var i = 0; i < nodes.length; i++) {
results.push(window.HTMLWidgets.getInstance(nodes[i]));
}
return results;
};
var postRenderHandlers = [];
function invokePostRenderHandlers() {
while (postRenderHandlers.length) {
var handler = postRenderHandlers.shift();
if (handler) {
handler();
}
}
}
// Register the given callback function to be invoked after the
// next time static widgets are rendered.
window.HTMLWidgets.addPostRenderHandler = function(callback) {
postRenderHandlers.push(callback);
};
// Takes a new-style instance-bound definition, and returns an
// old-style class-bound definition. This saves us from having
// to rewrite all the logic in this file to accomodate both
// types of definitions.
function createLegacyDefinitionAdapter(defn) {
var result = {
name: defn.name,
type: defn.type,
initialize: function(el, width, height) {
return defn.factory(el, width, height);
},
renderValue: function(el, x, instance) {
return instance.renderValue(x);
},
resize: function(el, width, height, instance) {
return instance.resize(width, height);
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};
if (defn.find)
result.find = defn.find;
if (defn.renderError)
result.renderError = defn.renderError;
if (defn.clearError)
result.clearError = defn.clearError;
return result;
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})();
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M(this.wrapLat?s(t.lat,this.wrapLat,!0):t.lat,i,t.alt)},wrapLatLngBounds:function(t){var i=t.getCenter(),e=this.wrapLatLng(i),n=i.lat-e.lat,o=i.lng-e.lng;if(0===n&&0===o)return t;var s=t.getSouthWest(),r=t.getNorthEast();return new T(new M(s.lat-n,s.lng-o),new M(r.lat-n,r.lng-o))}},_i=i({},ci,{wrapLng:[-180,180],R:6371e3,distance:function(t,i){var e=Math.PI/180,n=t.lat*e,o=i.lat*e,s=Math.sin((i.lat-t.lat)*e/2),r=Math.sin((i.lng-t.lng)*e/2),a=s*s+Math.cos(n)*Math.cos(o)*r*r,h=2*Math.atan2(Math.sqrt(a),Math.sqrt(1-a));return this.R*h}}),di={R:6378137,MAX_LATITUDE:85.0511287798,project:function(t){var i=Math.PI/180,e=this.MAX_LATITUDE,n=Math.max(Math.min(e,t.lat),-e),o=Math.sin(n*i);return new x(this.R*t.lng*i,this.R*Math.log((1+o)/(1-o))/2)},unproject:function(t){var i=180/Math.PI;return new M((2*Math.atan(Math.exp(t.y/this.R))-Math.PI/2)*i,t.x*i/this.R)},bounds:function(){var t=6378137*Math.PI;return new P([-t,-t],[t,t])}()};Z.prototype={transform:function(t,i){return this._transform(t.clone(),i)},_transform:function(t,i){return i=i||1,t.x=i*(this._a*t.x+this._b),t.y=i*(this._c*t.y+this._d),t},untransform:function(t,i){return i=i||1,new x((t.x/i-this._b)/this._a,(t.y/i-this._d)/this._c)}};var pi,mi,fi,gi,vi=i({},_i,{code:"EPSG:3857",projection:di,transformation:function(){var t=.5/(Math.PI*di.R);return S(t,.5,-t,.5)}()}),yi=i({},vi,{code:"EPSG:900913"}),xi=document.documentElement.style,wi="ActiveXObject"in window,Li=wi&&!document.addEventListener,Pi="msLaunchUri"in navigator&&!("documentMode"in document),bi=A("webkit"),Ti=A("android"),zi=A("android 2")||A("android 3"),Mi=parseInt(/WebKit\/([0-9]+)|$/.exec(navigator.userAgent)[1],10),Ci=Ti&&A("Google")&&Mi<537&&!("AudioNode"in window),Zi=!!window.opera,Si=A("chrome"),Ei=A("gecko")&&!bi&&!Zi&&!wi,ki=!Si&&A("safari"),Ai=A("phantom"),Ii="OTransition"in xi,Bi=0===navigator.platform.indexOf("Win"),Oi=wi&&"transition"in xi,Ri="WebKitCSSMatrix"in window&&"m11"in new 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i.adj}catch(t){return!1}}(),$i=(Object.freeze||Object)({ie:wi,ielt9:Li,edge:Pi,webkit:bi,android:Ti,android23:zi,androidStock:Ci,opera:Zi,chrome:Si,gecko:Ei,safari:ki,phantom:Ai,opera12:Ii,win:Bi,ie3d:Oi,webkit3d:Ri,gecko3d:Di,any3d:Ni,mobile:ji,mobileWebkit:Wi,mobileWebkit3d:Hi,msPointer:Fi,pointer:Ui,touch:Vi,mobileOpera:qi,mobileGecko:Gi,retina:Ki,canvas:Yi,svg:Xi,vml:Ji}),Qi=Fi?"MSPointerDown":"pointerdown",te=Fi?"MSPointerMove":"pointermove",ie=Fi?"MSPointerUp":"pointerup",ee=Fi?"MSPointerCancel":"pointercancel",ne=["INPUT","SELECT","OPTION"],oe={},se=!1,re=0,ae=Fi?"MSPointerDown":Ui?"pointerdown":"touchstart",he=Fi?"MSPointerUp":Ui?"pointerup":"touchend",ue="_leaflet_",le="_leaflet_events",ce=Bi&&Si?2*window.devicePixelRatio:Ei?window.devicePixelRatio:1,_e={},de=(Object.freeze||Object)({on:V,off:q,stopPropagation:Y,disableScrollPropagation:X,disableClickPropagation:J,preventDefault:$,stop:Q,getMousePosition:tt,getWheelDelta:it,fakeStop:et,skipped:nt,isExternalTarget:ot,addListener:V,removeListener:q}),pe=xt(["transform","WebkitTransform","OTransform","MozTransform","msTransform"]),me=xt(["webkitTransition","transition","OTransition","MozTransition","msTransition"]),fe="webkitTransition"===me||"OTransition"===me?me+"End":"transitionend";if("onselectstart"in document)mi=function(){V(window,"selectstart",$)},fi=function(){q(window,"selectstart",$)};else{var ge=xt(["userSelect","WebkitUserSelect","OUserSelect","MozUserSelect","msUserSelect"]);mi=function(){if(ge){var t=document.documentElement.style;gi=t[ge],t[ge]="none"}},fi=function(){ge&&(document.documentElement.style[ge]=gi,gi=void 0)}}var ve,ye,xe=(Object.freeze||Object)({TRANSFORM:pe,TRANSITION:me,TRANSITION_END:fe,get:rt,getStyle:at,create:ht,remove:ut,empty:lt,toFront:ct,toBack:_t,hasClass:dt,addClass:pt,removeClass:mt,setClass:ft,getClass:gt,setOpacity:vt,testProp:xt,setTransform:wt,setPosition:Lt,getPosition:Pt,disableTextSelection:mi,enableTextSelection:fi,disableImageDrag:bt,enableImageDrag:Tt,preventOutline:zt,restoreOutline:Mt}),we=ui.extend({run:function(t,i,e,n){this.stop(),this._el=t,this._inProgress=!0,this._duration=e||.25,this._easeOutPower=1/Math.max(n||.5,.2),this._startPos=Pt(t),this._offset=i.subtract(this._startPos),this._startTime=+new Date,this.fire("start"),this._animate()},stop:function(){this._inProgress&&(this._step(!0),this._complete())},_animate:function(){this._animId=f(this._animate,this),this._step()},_step:function(t){var i=+new Date-this._startTime,e=1e3*this._duration;i<e?this._runFrame(this._easeOut(i/e),t):(this._runFrame(1),this._complete())},_runFrame:function(t,i){var e=this._startPos.add(this._offset.multiplyBy(t));i&&e._round(),Lt(this._el,e),this.fire("step")},_complete:function(){g(this._animId),this._inProgress=!1,this.fire("end")},_easeOut:function(t){return 1-Math.pow(1-t,this._easeOutPower)}}),Le=ui.extend({options:{crs:vi,center:void 0,zoom:void 0,minZoom:void 0,maxZoom:void 0,layers:[],maxBounds:void 0,renderer:void 0,zoomAnimation:!0,zoomAnimationThreshold:4,fadeAnimation:!0,markerZoomAnimation:!0,transform3DLimit:8388608,zoomSnap:1,zoomDelta:1,trackResize:!0},initialize:function(t,i){i=l(this,i),this._initContainer(t),this._initLayout(),this._onResize=e(this._onResize,this),this._initEvents(),i.maxBounds&&this.setMaxBounds(i.maxBounds),void 0!==i.zoom&&(this._zoom=this._limitZoom(i.zoom)),i.center&&void 0!==i.zoom&&this.setView(C(i.center),i.zoom,{reset:!0}),this._handlers=[],this._layers={},this._zoomBoundLayers={},this._sizeChanged=!0,this.callInitHooks(),this._zoomAnimated=me&&Ni&&!qi&&this.options.zoomAnimation,this._zoomAnimated&&(this._createAnimProxy(),V(this._proxy,fe,this._catchTransitionEnd,this)),this._addLayers(this.options.layers)},setView:function(t,e,n){return e=void 0===e?this._zoom:this._limitZoom(e),t=this._limitCenter(C(t),e,this.options.maxBounds),n=n||{},this._stop(),this._loaded&&!n.reset&&!0!==n&&(void 0!==n.animate&&(n.zoom=i({animate:n.animate},n.zoom),n.pan=i({animate:n.animate,duration:n.duration},n.pan)),this._zoom!==e?this._tryAnimatedZoom&&this._tryAnimatedZoom(t,e,n.zoom):this._tryAnimatedPan(t,n.pan))?(clearTimeout(this._sizeTimer),this):(this._resetView(t,e),this)},setZoom:function(t,i){return this._loaded?this.setView(this.getCenter(),t,{zoom:i}):(this._zoom=t,this)},zoomIn:function(t,i){return t=t||(Ni?this.options.zoomDelta:1),this.setZoom(this._zoom+t,i)},zoomOut:function(t,i){return t=t||(Ni?this.options.zoomDelta:1),this.setZoom(this._zoom-t,i)},setZoomAround:function(t,i,e){var n=this.getZoomScale(i),o=this.getSize().divideBy(2),s=(t instanceof x?t:this.latLngToContainerPoint(t)).subtract(o).multiplyBy(1-1/n),r=this.containerPointToLatLng(o.add(s));return this.setView(r,i,{zoom:e})},_getBoundsCenterZoom:function(t,i){i=i||{},t=t.getBounds?t.getBounds():z(t);var e=w(i.paddingTopLeft||i.padding||[0,0]),n=w(i.paddingBottomRight||i.padding||[0,0]),o=this.getBoundsZoom(t,!1,e.add(n));if((o="number"==typeof i.maxZoom?Math.min(i.maxZoom,o):o)===1/0)return{center:t.getCenter(),zoom:o};var s=n.subtract(e).divideBy(2),r=this.project(t.getSouthWest(),o),a=this.project(t.getNorthEast(),o);return{center:this.unproject(r.add(a).divideBy(2).add(s),o),zoom:o}},fitBounds:function(t,i){if(!(t=z(t)).isValid())throw new Error("Bounds are not valid.");var e=this._getBoundsCenterZoom(t,i);return this.setView(e.center,e.zoom,i)},fitWorld:function(t){return this.fitBounds([[-90,-180],[90,180]],t)},panTo:function(t,i){return this.setView(t,this._zoom,{pan:i})},panBy:function(t,i){if(t=w(t).round(),i=i||{},!t.x&&!t.y)return this.fire("moveend");if(!0!==i.animate&&!this.getSize().contains(t))return this._resetView(this.unproject(this.project(this.getCenter()).add(t)),this.getZoom()),this;if(this._panAnim||(this._panAnim=new we,this._panAnim.on({step:this._onPanTransitionStep,end:this._onPanTransitionEnd},this)),i.noMoveStart||this.fire("movestart"),!1!==i.animate){pt(this._mapPane,"leaflet-pan-anim");var e=this._getMapPanePos().subtract(t).round();this._panAnim.run(this._mapPane,e,i.duration||.25,i.easeLinearity)}else this._rawPanBy(t),this.fire("move").fire("moveend");return this},flyTo:function(t,i,e){function n(t){var i=(g*g-m*m+(t?-1:1)*x*x*v*v)/(2*(t?g:m)*x*v),e=Math.sqrt(i*i+1)-i;return e<1e-9?-18:Math.log(e)}function o(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function r(t){return o(t)/s(t)}function a(t){return m*(s(w)/s(w+y*t))}function h(t){return m*(s(w)*r(w+y*t)-o(w))/x}function u(t){return 1-Math.pow(1-t,1.5)}function l(){var e=(Date.now()-L)/b,n=u(e)*P;e<=1?(this._flyToFrame=f(l,this),this._move(this.unproject(c.add(_.subtract(c).multiplyBy(h(n)/v)),p),this.getScaleZoom(m/a(n),p),{flyTo:!0})):this._move(t,i)._moveEnd(!0)}if(!1===(e=e||{}).animate||!Ni)return this.setView(t,i,e);this._stop();var c=this.project(this.getCenter()),_=this.project(t),d=this.getSize(),p=this._zoom;t=C(t),i=void 0===i?p:i;var m=Math.max(d.x,d.y),g=m*this.getZoomScale(p,i),v=_.distanceTo(c)||1,y=1.42,x=y*y,w=n(0),L=Date.now(),P=(n(1)-w)/y,b=e.duration?1e3*e.duration:1e3*P*.8;return this._moveStart(!0,e.noMoveStart),l.call(this),this},flyToBounds:function(t,i){var e=this._getBoundsCenterZoom(t,i);return this.flyTo(e.center,e.zoom,i)},setMaxBounds:function(t){return(t=z(t)).isValid()?(this.options.maxBounds&&this.off("moveend",this._panInsideMaxBounds),this.options.maxBounds=t,this._loaded&&this._panInsideMaxBounds(),this.on("moveend",this._panInsideMaxBounds)):(this.options.maxBounds=null,this.off("moveend",this._panInsideMaxBounds))},setMinZoom:function(t){var i=this.options.minZoom;return this.options.minZoom=t,this._loaded&&i!==t&&(this.fire("zoomlevelschange"),this.getZoom()<this.options.minZoom)?this.setZoom(t):this},setMaxZoom:function(t){var i=this.options.maxZoom;return this.options.maxZoom=t,this._loaded&&i!==t&&(this.fire("zoomlevelschange"),this.getZoom()>this.options.maxZoom)?this.setZoom(t):this},panInsideBounds:function(t,i){this._enforcingBounds=!0;var e=this.getCenter(),n=this._limitCenter(e,this._zoom,z(t));return e.equals(n)||this.panTo(n,i),this._enforcingBounds=!1,this},invalidateSize:function(t){if(!this._loaded)return this;t=i({animate:!1,pan:!0},!0===t?{animate:!0}:t);var n=this.getSize();this._sizeChanged=!0,this._lastCenter=null;var o=this.getSize(),s=n.divideBy(2).round(),r=o.divideBy(2).round(),a=s.subtract(r);return a.x||a.y?(t.animate&&t.pan?this.panBy(a):(t.pan&&this._rawPanBy(a),this.fire("move"),t.debounceMoveend?(clearTimeout(this._sizeTimer),this._sizeTimer=setTimeout(e(this.fire,this,"moveend"),200)):this.fire("moveend")),this.fire("resize",{oldSize:n,newSize:o})):this},stop:function(){return this.setZoom(this._limitZoom(this._zoom)),this.options.zoomSnap||this.fire("viewreset"),this._stop()},locate:function(t){if(t=this._locateOptions=i({timeout:1e4,watch:!1},t),!("geolocation"in navigator))return this._handleGeolocationError({code:0,message:"Geolocation not supported."}),this;var n=e(this._handleGeolocationResponse,this),o=e(this._handleGeolocationError,this);return t.watch?this._locationWatchId=navigator.geolocation.watchPosition(n,o,t):navigator.geolocation.getCurrentPosition(n,o,t),this},stopLocate:function(){return navigator.geolocation&&navigator.geolocation.clearWatch&&navigator.geolocation.clearWatch(this._locationWatchId),this._locateOptions&&(this._locateOptions.setView=!1),this},_handleGeolocationError:function(t){var i=t.code,e=t.message||(1===i?"permission denied":2===i?"position unavailable":"timeout");this._locateOptions.setView&&!this._loaded&&this.fitWorld(),this.fire("locationerror",{code:i,message:"Geolocation error: "+e+"."})},_handleGeolocationResponse:function(t){var i=new M(t.coords.latitude,t.coords.longitude),e=i.toBounds(t.coords.accuracy),n=this._locateOptions;if(n.setView){var o=this.getBoundsZoom(e);this.setView(i,n.maxZoom?Math.min(o,n.maxZoom):o)}var s={latlng:i,bounds:e,timestamp:t.timestamp};for(var r in t.coords)"number"==typeof t.coords[r]&&(s[r]=t.coords[r]);this.fire("locationfound",s)},addHandler:function(t,i){if(!i)return this;var e=this[t]=new i(this);return this._handlers.push(e),this.options[t]&&e.enable(),this},remove:function(){if(this._initEvents(!0),this._containerId!==this._container._leaflet_id)throw new Error("Map container is being reused by another instance");try{delete this._container._leaflet_id,delete this._containerId}catch(t){this._container._leaflet_id=void 0,this._containerId=void 0}void 0!==this._locationWatchId&&this.stopLocate(),this._stop(),ut(this._mapPane),this._clearControlPos&&this._clearControlPos(),this._clearHandlers(),this._loaded&&this.fire("unload");var t;for(t in this._layers)this._layers[t].remove();for(t in this._panes)ut(this._panes[t]);return this._layers=[],this._panes=[],delete this._mapPane,delete this._renderer,this},createPane:function(t,i){var e=ht("div","leaflet-pane"+(t?" leaflet-"+t.replace("Pane","")+"-pane":""),i||this._mapPane);return t&&(this._panes[t]=e),e},getCenter:function(){return this._checkIfLoaded(),this._lastCenter&&!this._moved()?this._lastCenter:this.layerPointToLatLng(this._getCenterLayerPoint())},getZoom:function(){return this._zoom},getBounds:function(){var t=this.getPixelBounds();return new T(this.unproject(t.getBottomLeft()),this.unproject(t.getTopRight()))},getMinZoom:function(){return void 0===this.options.minZoom?this._layersMinZoom||0:this.options.minZoom},getMaxZoom:function(){return void 0===this.options.maxZoom?void 0===this._layersMaxZoom?1/0:this._layersMaxZoom:this.options.maxZoom},getBoundsZoom:function(t,i,e){t=z(t),e=w(e||[0,0]);var n=this.getZoom()||0,o=this.getMinZoom(),s=this.getMaxZoom(),r=t.getNorthWest(),a=t.getSouthEast(),h=this.getSize().subtract(e),u=b(this.project(a,n),this.project(r,n)).getSize(),l=Ni?this.options.zoomSnap:1,c=h.x/u.x,_=h.y/u.y,d=i?Math.max(c,_):Math.min(c,_);return n=this.getScaleZoom(d,n),l&&(n=Math.round(n/(l/100))*(l/100),n=i?Math.ceil(n/l)*l:Math.floor(n/l)*l),Math.max(o,Math.min(s,n))},getSize:function(){return this._size&&!this._sizeChanged||(this._size=new x(this._container.clientWidth||0,this._container.clientHeight||0),this._sizeChanged=!1),this._size.clone()},getPixelBounds:function(t,i){var e=this._getTopLeftPoint(t,i);return new P(e,e.add(this.getSize()))},getPixelOrigin:function(){return this._checkIfLoaded(),this._pixelOrigin},getPixelWorldBounds:function(t){return this.options.crs.getProjectedBounds(void 0===t?this.getZoom():t)},getPane:function(t){return"string"==typeof t?this._panes[t]:t},getPanes:function(){return this._panes},getContainer:function(){return this._container},getZoomScale:function(t,i){var e=this.options.crs;return i=void 0===i?this._zoom:i,e.scale(t)/e.scale(i)},getScaleZoom:function(t,i){var e=this.options.crs;i=void 0===i?this._zoom:i;var n=e.zoom(t*e.scale(i));return isNaN(n)?1/0:n},project:function(t,i){return i=void 0===i?this._zoom:i,this.options.crs.latLngToPoint(C(t),i)},unproject:function(t,i){return i=void 0===i?this._zoom:i,this.options.crs.pointToLatLng(w(t),i)},layerPointToLatLng:function(t){var i=w(t).add(this.getPixelOrigin());return this.unproject(i)},latLngToLayerPoint:function(t){return this.project(C(t))._round()._subtract(this.getPixelOrigin())},wrapLatLng:function(t){return this.options.crs.wrapLatLng(C(t))},wrapLatLngBounds:function(t){return this.options.crs.wrapLatLngBounds(z(t))},distance:function(t,i){return this.options.crs.distance(C(t),C(i))},containerPointToLayerPoint:function(t){return w(t).subtract(this._getMapPanePos())},layerPointToContainerPoint:function(t){return w(t).add(this._getMapPanePos())},containerPointToLatLng:function(t){var i=this.containerPointToLayerPoint(w(t));return this.layerPointToLatLng(i)},latLngToContainerPoint:function(t){return this.layerPointToContainerPoint(this.latLngToLayerPoint(C(t)))},mouseEventToContainerPoint:function(t){return tt(t,this._container)},mouseEventToLayerPoint:function(t){return this.containerPointToLayerPoint(this.mouseEventToContainerPoint(t))},mouseEventToLatLng:function(t){return this.layerPointToLatLng(this.mouseEventToLayerPoint(t))},_initContainer:function(t){var i=this._container=rt(t);if(!i)throw new Error("Map container not found.");if(i._leaflet_id)throw new Error("Map container is already initialized.");V(i,"scroll",this._onScroll,this),this._containerId=n(i)},_initLayout:function(){var t=this._container;this._fadeAnimated=this.options.fadeAnimation&&Ni,pt(t,"leaflet-container"+(Vi?" leaflet-touch":"")+(Ki?" leaflet-retina":"")+(Li?" leaflet-oldie":"")+(ki?" leaflet-safari":"")+(this._fadeAnimated?" leaflet-fade-anim":""));var i=at(t,"position");"absolute"!==i&&"relative"!==i&&"fixed"!==i&&(t.style.position="relative"),this._initPanes(),this._initControlPos&&this._initControlPos()},_initPanes:function(){var t=this._panes={};this._paneRenderers={},this._mapPane=this.createPane("mapPane",this._container),Lt(this._mapPane,new x(0,0)),this.createPane("tilePane"),this.createPane("shadowPane"),this.createPane("overlayPane"),this.createPane("markerPane"),this.createPane("tooltipPane"),this.createPane("popupPane"),this.options.markerZoomAnimation||(pt(t.markerPane,"leaflet-zoom-hide"),pt(t.shadowPane,"leaflet-zoom-hide"))},_resetView:function(t,i){Lt(this._mapPane,new x(0,0));var e=!this._loaded;this._loaded=!0,i=this._limitZoom(i),this.fire("viewprereset");var n=this._zoom!==i;this._moveStart(n,!1)._move(t,i)._moveEnd(n),this.fire("viewreset"),e&&this.fire("load")},_moveStart:function(t,i){return t&&this.fire("zoomstart"),i||this.fire("movestart"),this},_move:function(t,i,e){void 0===i&&(i=this._zoom);var n=this._zoom!==i;return this._zoom=i,this._lastCenter=t,this._pixelOrigin=this._getNewPixelOrigin(t),(n||e&&e.pinch)&&this.fire("zoom",e),this.fire("move",e)},_moveEnd:function(t){return t&&this.fire("zoomend"),this.fire("moveend")},_stop:function(){return g(this._flyToFrame),this._panAnim&&this._panAnim.stop(),this},_rawPanBy:function(t){Lt(this._mapPane,this._getMapPanePos().subtract(t))},_getZoomSpan:function(){return this.getMaxZoom()-this.getMinZoom()},_panInsideMaxBounds:function(){this._enforcingBounds||this.panInsideBounds(this.options.maxBounds)},_checkIfLoaded:function(){if(!this._loaded)throw new Error("Set map center and zoom first.")},_initEvents:function(t){this._targets={},this._targets[n(this._container)]=this;var i=t?q:V;i(this._container,"click dblclick mousedown mouseup mouseover mouseout mousemove contextmenu keypress",this._handleDOMEvent,this),this.options.trackResize&&i(window,"resize",this._onResize,this),Ni&&this.options.transform3DLimit&&(t?this.off:this.on).call(this,"moveend",this._onMoveEnd)},_onResize:function(){g(this._resizeRequest),this._resizeRequest=f(function(){this.invalidateSize({debounceMoveend:!0})},this)},_onScroll:function(){this._container.scrollTop=0,this._container.scrollLeft=0},_onMoveEnd:function(){var t=this._getMapPanePos();Math.max(Math.abs(t.x),Math.abs(t.y))>=this.options.transform3DLimit&&this._resetView(this.getCenter(),this.getZoom())},_findEventTargets:function(t,i){for(var e,o=[],s="mouseout"===i||"mouseover"===i,r=t.target||t.srcElement,a=!1;r;){if((e=this._targets[n(r)])&&("click"===i||"preclick"===i)&&!t._simulated&&this._draggableMoved(e)){a=!0;break}if(e&&e.listens(i,!0)){if(s&&!ot(r,t))break;if(o.push(e),s)break}if(r===this._container)break;r=r.parentNode}return o.length||a||s||!ot(r,t)||(o=[this]),o},_handleDOMEvent:function(t){if(this._loaded&&!nt(t)){var i=t.type;"mousedown"!==i&&"keypress"!==i||zt(t.target||t.srcElement),this._fireDOMEvent(t,i)}},_mouseEvents:["click","dblclick","mouseover","mouseout","contextmenu"],_fireDOMEvent:function(t,e,n){if("click"===t.type){var o=i({},t);o.type="preclick",this._fireDOMEvent(o,o.type,n)}if(!t._stopped&&(n=(n||[]).concat(this._findEventTargets(t,e))).length){var s=n[0];"contextmenu"===e&&s.listens(e,!0)&&$(t);var r={originalEvent:t};if("keypress"!==t.type){var a=s.getLatLng&&(!s._radius||s._radius<=10);r.containerPoint=a?this.latLngToContainerPoint(s.getLatLng()):this.mouseEventToContainerPoint(t),r.layerPoint=this.containerPointToLayerPoint(r.containerPoint),r.latlng=a?s.getLatLng():this.layerPointToLatLng(r.layerPoint)}for(var h=0;h<n.length;h++)if(n[h].fire(e,r,!0),r.originalEvent._stopped||!1===n[h].options.bubblingMouseEvents&&-1!==d(this._mouseEvents,e))return}},_draggableMoved:function(t){return(t=t.dragging&&t.dragging.enabled()?t:this).dragging&&t.dragging.moved()||this.boxZoom&&this.boxZoom.moved()},_clearHandlers:function(){for(var t=0,i=this._handlers.length;t<i;t++)this._handlers[t].disable()},whenReady:function(t,i){return this._loaded?t.call(i||this,{target:this}):this.on("load",t,i),this},_getMapPanePos:function(){return Pt(this._mapPane)||new x(0,0)},_moved:function(){var t=this._getMapPanePos();return t&&!t.equals([0,0])},_getTopLeftPoint:function(t,i){return(t&&void 0!==i?this._getNewPixelOrigin(t,i):this.getPixelOrigin()).subtract(this._getMapPanePos())},_getNewPixelOrigin:function(t,i){var e=this.getSize()._divideBy(2);return this.project(t,i)._subtract(e)._add(this._getMapPanePos())._round()},_latLngToNewLayerPoint:function(t,i,e){var n=this._getNewPixelOrigin(e,i);return this.project(t,i)._subtract(n)},_latLngBoundsToNewLayerBounds:function(t,i,e){var n=this._getNewPixelOrigin(e,i);return b([this.project(t.getSouthWest(),i)._subtract(n),this.project(t.getNorthWest(),i)._subtract(n),this.project(t.getSouthEast(),i)._subtract(n),this.project(t.getNorthEast(),i)._subtract(n)])},_getCenterLayerPoint:function(){return this.containerPointToLayerPoint(this.getSize()._divideBy(2))},_getCenterOffset:function(t){return this.latLngToLayerPoint(t).subtract(this._getCenterLayerPoint())},_limitCenter:function(t,i,e){if(!e)return t;var n=this.project(t,i),o=this.getSize().divideBy(2),s=new P(n.subtract(o),n.add(o)),r=this._getBoundsOffset(s,e,i);return r.round().equals([0,0])?t:this.unproject(n.add(r),i)},_limitOffset:function(t,i){if(!i)return t;var e=this.getPixelBounds(),n=new P(e.min.add(t),e.max.add(t));return t.add(this._getBoundsOffset(n,i))},_getBoundsOffset:function(t,i,e){var n=b(this.project(i.getNorthEast(),e),this.project(i.getSouthWest(),e)),o=n.min.subtract(t.min),s=n.max.subtract(t.max);return new x(this._rebound(o.x,-s.x),this._rebound(o.y,-s.y))},_rebound:function(t,i){return t+i>0?Math.round(t-i)/2:Math.max(0,Math.ceil(t))-Math.max(0,Math.floor(i))},_limitZoom:function(t){var i=this.getMinZoom(),e=this.getMaxZoom(),n=Ni?this.options.zoomSnap:1;return n&&(t=Math.round(t/n)*n),Math.max(i,Math.min(e,t))},_onPanTransitionStep:function(){this.fire("move")},_onPanTransitionEnd:function(){mt(this._mapPane,"leaflet-pan-anim"),this.fire("moveend")},_tryAnimatedPan:function(t,i){var e=this._getCenterOffset(t)._trunc();return!(!0!==(i&&i.animate)&&!this.getSize().contains(e))&&(this.panBy(e,i),!0)},_createAnimProxy:function(){var t=this._proxy=ht("div","leaflet-proxy leaflet-zoom-animated");this._panes.mapPane.appendChild(t),this.on("zoomanim",function(t){var i=pe,e=this._proxy.style[i];wt(this._proxy,this.project(t.center,t.zoom),this.getZoomScale(t.zoom,1)),e===this._proxy.style[i]&&this._animatingZoom&&this._onZoomTransitionEnd()},this),this.on("load moveend",function(){var t=this.getCenter(),i=this.getZoom();wt(this._proxy,this.project(t,i),this.getZoomScale(i,1))},this),this._on("unload",this._destroyAnimProxy,this)},_destroyAnimProxy:function(){ut(this._proxy),delete this._proxy},_catchTransitionEnd:function(t){this._animatingZoom&&t.propertyName.indexOf("transform")>=0&&this._onZoomTransitionEnd()},_nothingToAnimate:function(){return!this._container.getElementsByClassName("leaflet-zoom-animated").length},_tryAnimatedZoom:function(t,i,e){if(this._animatingZoom)return!0;if(e=e||{},!this._zoomAnimated||!1===e.animate||this._nothingToAnimate()||Math.abs(i-this._zoom)>this.options.zoomAnimationThreshold)return!1;var n=this.getZoomScale(i),o=this._getCenterOffset(t)._divideBy(1-1/n);return!(!0!==e.animate&&!this.getSize().contains(o))&&(f(function(){this._moveStart(!0,!1)._animateZoom(t,i,!0)},this),!0)},_animateZoom:function(t,i,n,o){this._mapPane&&(n&&(this._animatingZoom=!0,this._animateToCenter=t,this._animateToZoom=i,pt(this._mapPane,"leaflet-zoom-anim")),this.fire("zoomanim",{center:t,zoom:i,noUpdate:o}),setTimeout(e(this._onZoomTransitionEnd,this),250))},_onZoomTransitionEnd:function(){this._animatingZoom&&(this._mapPane&&mt(this._mapPane,"leaflet-zoom-anim"),this._animatingZoom=!1,this._move(this._animateToCenter,this._animateToZoom),f(function(){this._moveEnd(!0)},this))}}),Pe=v.extend({options:{position:"topright"},initialize:function(t){l(this,t)},getPosition:function(){return this.options.position},setPosition:function(t){var i=this._map;return i&&i.removeControl(this),this.options.position=t,i&&i.addControl(this),this},getContainer:function(){return this._container},addTo:function(t){this.remove(),this._map=t;var i=this._container=this.onAdd(t),e=this.getPosition(),n=t._controlCorners[e];return pt(i,"leaflet-control"),-1!==e.indexOf("bottom")?n.insertBefore(i,n.firstChild):n.appendChild(i),this},remove:function(){return this._map?(ut(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this):this},_refocusOnMap:function(t){this._map&&t&&t.screenX>0&&t.screenY>0&&this._map.getContainer().focus()}}),be=function(t){return new Pe(t)};Le.include({addControl:function(t){return t.addTo(this),this},removeControl:function(t){return t.remove(),this},_initControlPos:function(){function t(t,o){var s=e+t+" "+e+o;i[t+o]=ht("div",s,n)}var i=this._controlCorners={},e="leaflet-",n=this._controlContainer=ht("div",e+"control-container",this._container);t("top","left"),t("top","right"),t("bottom","left"),t("bottom","right")},_clearControlPos:function(){for(var t in this._controlCorners)ut(this._controlCorners[t]);ut(this._controlContainer),delete this._controlCorners,delete this._controlContainer}});var Te=Pe.extend({options:{collapsed:!0,position:"topright",autoZIndex:!0,hideSingleBase:!1,sortLayers:!1,sortFunction:function(t,i,e,n){return e<n?-1:n<e?1:0}},initialize:function(t,i,e){l(this,e),this._layerControlInputs=[],this._layers=[],this._lastZIndex=0,this._handlingClick=!1;for(var n in t)this._addLayer(t[n],n);for(n in i)this._addLayer(i[n],n,!0)},onAdd:function(t){this._initLayout(),this._update(),this._map=t,t.on("zoomend",this._checkDisabledLayers,this);for(var i=0;i<this._layers.length;i++)this._layers[i].layer.on("add remove",this._onLayerChange,this);return this._container},addTo:function(t){return Pe.prototype.addTo.call(this,t),this._expandIfNotCollapsed()},onRemove:function(){this._map.off("zoomend",this._checkDisabledLayers,this);for(var t=0;t<this._layers.length;t++)this._layers[t].layer.off("add remove",this._onLayerChange,this)},addBaseLayer:function(t,i){return this._addLayer(t,i),this._map?this._update():this},addOverlay:function(t,i){return this._addLayer(t,i,!0),this._map?this._update():this},removeLayer:function(t){t.off("add remove",this._onLayerChange,this);var i=this._getLayer(n(t));return i&&this._layers.splice(this._layers.indexOf(i),1),this._map?this._update():this},expand:function(){pt(this._container,"leaflet-control-layers-expanded"),this._form.style.height=null;var t=this._map.getSize().y-(this._container.offsetTop+50);return t<this._form.clientHeight?(pt(this._form,"leaflet-control-layers-scrollbar"),this._form.style.height=t+"px"):mt(this._form,"leaflet-control-layers-scrollbar"),this._checkDisabledLayers(),this},collapse:function(){return mt(this._container,"leaflet-control-layers-expanded"),this},_initLayout:function(){var t="leaflet-control-layers",i=this._container=ht("div",t),e=this.options.collapsed;i.setAttribute("aria-haspopup",!0),J(i),X(i);var n=this._form=ht("form",t+"-list");e&&(this._map.on("click",this.collapse,this),Ti||V(i,{mouseenter:this.expand,mouseleave:this.collapse},this));var o=this._layersLink=ht("a",t+"-toggle",i);o.href="#",o.title="Layers",Vi?(V(o,"click",Q),V(o,"click",this.expand,this)):V(o,"focus",this.expand,this),e||this.expand(),this._baseLayersList=ht("div",t+"-base",n),this._separator=ht("div",t+"-separator",n),this._overlaysList=ht("div",t+"-overlays",n),i.appendChild(n)},_getLayer:function(t){for(var i=0;i<this._layers.length;i++)if(this._layers[i]&&n(this._layers[i].layer)===t)return this._layers[i]},_addLayer:function(t,i,n){this._map&&t.on("add remove",this._onLayerChange,this),this._layers.push({layer:t,name:i,overlay:n}),this.options.sortLayers&&this._layers.sort(e(function(t,i){return this.options.sortFunction(t.layer,i.layer,t.name,i.name)},this)),this.options.autoZIndex&&t.setZIndex&&(this._lastZIndex++,t.setZIndex(this._lastZIndex)),this._expandIfNotCollapsed()},_update:function(){if(!this._container)return this;lt(this._baseLayersList),lt(this._overlaysList),this._layerControlInputs=[];var t,i,e,n,o=0;for(e=0;e<this._layers.length;e++)n=this._layers[e],this._addItem(n),i=i||n.overlay,t=t||!n.overlay,o+=n.overlay?0:1;return this.options.hideSingleBase&&(t=t&&o>1,this._baseLayersList.style.display=t?"":"none"),this._separator.style.display=i&&t?"":"none",this},_onLayerChange:function(t){this._handlingClick||this._update();var i=this._getLayer(n(t.target)),e=i.overlay?"add"===t.type?"overlayadd":"overlayremove":"add"===t.type?"baselayerchange":null;e&&this._map.fire(e,i)},_createRadioElement:function(t,i){var e='<input type="radio" class="leaflet-control-layers-selector" name="'+t+'"'+(i?' checked="checked"':"")+"/>",n=document.createElement("div");return n.innerHTML=e,n.firstChild},_addItem:function(t){var i,e=document.createElement("label"),o=this._map.hasLayer(t.layer);t.overlay?((i=document.createElement("input")).type="checkbox",i.className="leaflet-control-layers-selector",i.defaultChecked=o):i=this._createRadioElement("leaflet-base-layers",o),this._layerControlInputs.push(i),i.layerId=n(t.layer),V(i,"click",this._onInputClick,this);var s=document.createElement("span");s.innerHTML=" "+t.name;var r=document.createElement("div");return e.appendChild(r),r.appendChild(i),r.appendChild(s),(t.overlay?this._overlaysList:this._baseLayersList).appendChild(e),this._checkDisabledLayers(),e},_onInputClick:function(){var t,i,e=this._layerControlInputs,n=[],o=[];this._handlingClick=!0;for(var s=e.length-1;s>=0;s--)t=e[s],i=this._getLayer(t.layerId).layer,t.checked?n.push(i):t.checked||o.push(i);for(s=0;s<o.length;s++)this._map.hasLayer(o[s])&&this._map.removeLayer(o[s]);for(s=0;s<n.length;s++)this._map.hasLayer(n[s])||this._map.addLayer(n[s]);this._handlingClick=!1,this._refocusOnMap()},_checkDisabledLayers:function(){for(var t,i,e=this._layerControlInputs,n=this._map.getZoom(),o=e.length-1;o>=0;o--)t=e[o],i=this._getLayer(t.layerId).layer,t.disabled=void 0!==i.options.minZoom&&n<i.options.minZoom||void 0!==i.options.maxZoom&&n>i.options.maxZoom},_expandIfNotCollapsed:function(){return this._map&&!this.options.collapsed&&this.expand(),this},_expand:function(){return this.expand()},_collapse:function(){return this.collapse()}}),ze=Pe.extend({options:{position:"topleft",zoomInText:"+",zoomInTitle:"Zoom in",zoomOutText:"−",zoomOutTitle:"Zoom out"},onAdd:function(t){var i="leaflet-control-zoom",e=ht("div",i+" leaflet-bar"),n=this.options;return this._zoomInButton=this._createButton(n.zoomInText,n.zoomInTitle,i+"-in",e,this._zoomIn),this._zoomOutButton=this._createButton(n.zoomOutText,n.zoomOutTitle,i+"-out",e,this._zoomOut),this._updateDisabled(),t.on("zoomend zoomlevelschange",this._updateDisabled,this),e},onRemove:function(t){t.off("zoomend zoomlevelschange",this._updateDisabled,this)},disable:function(){return this._disabled=!0,this._updateDisabled(),this},enable:function(){return this._disabled=!1,this._updateDisabled(),this},_zoomIn:function(t){!this._disabled&&this._map._zoom<this._map.getMaxZoom()&&this._map.zoomIn(this._map.options.zoomDelta*(t.shiftKey?3:1))},_zoomOut:function(t){!this._disabled&&this._map._zoom>this._map.getMinZoom()&&this._map.zoomOut(this._map.options.zoomDelta*(t.shiftKey?3:1))},_createButton:function(t,i,e,n,o){var s=ht("a",e,n);return s.innerHTML=t,s.href="#",s.title=i,s.setAttribute("role","button"),s.setAttribute("aria-label",i),J(s),V(s,"click",Q),V(s,"click",o,this),V(s,"click",this._refocusOnMap,this),s},_updateDisabled:function(){var t=this._map,i="leaflet-disabled";mt(this._zoomInButton,i),mt(this._zoomOutButton,i),(this._disabled||t._zoom===t.getMinZoom())&&pt(this._zoomOutButton,i),(this._disabled||t._zoom===t.getMaxZoom())&&pt(this._zoomInButton,i)}});Le.mergeOptions({zoomControl:!0}),Le.addInitHook(function(){this.options.zoomControl&&(this.zoomControl=new ze,this.addControl(this.zoomControl))});var Me=Pe.extend({options:{position:"bottomleft",maxWidth:100,metric:!0,imperial:!0},onAdd:function(t){var i=ht("div","leaflet-control-scale"),e=this.options;return this._addScales(e,"leaflet-control-scale-line",i),t.on(e.updateWhenIdle?"moveend":"move",this._update,this),t.whenReady(this._update,this),i},onRemove:function(t){t.off(this.options.updateWhenIdle?"moveend":"move",this._update,this)},_addScales:function(t,i,e){t.metric&&(this._mScale=ht("div",i,e)),t.imperial&&(this._iScale=ht("div",i,e))},_update:function(){var t=this._map,i=t.getSize().y/2,e=t.distance(t.containerPointToLatLng([0,i]),t.containerPointToLatLng([this.options.maxWidth,i]));this._updateScales(e)},_updateScales:function(t){this.options.metric&&t&&this._updateMetric(t),this.options.imperial&&t&&this._updateImperial(t)},_updateMetric:function(t){var i=this._getRoundNum(t),e=i<1e3?i+" m":i/1e3+" km";this._updateScale(this._mScale,e,i/t)},_updateImperial:function(t){var i,e,n,o=3.2808399*t;o>5280?(i=o/5280,e=this._getRoundNum(i),this._updateScale(this._iScale,e+" mi",e/i)):(n=this._getRoundNum(o),this._updateScale(this._iScale,n+" ft",n/o))},_updateScale:function(t,i,e){t.style.width=Math.round(this.options.maxWidth*e)+"px",t.innerHTML=i},_getRoundNum:function(t){var i=Math.pow(10,(Math.floor(t)+"").length-1),e=t/i;return e=e>=10?10:e>=5?5:e>=3?3:e>=2?2:1,i*e}}),Ce=Pe.extend({options:{position:"bottomright",prefix:'<a href="https://leafletjs.com" title="A JS library for interactive maps">Leaflet</a>'},initialize:function(t){l(this,t),this._attributions={}},onAdd:function(t){t.attributionControl=this,this._container=ht("div","leaflet-control-attribution"),J(this._container);for(var i in t._layers)t._layers[i].getAttribution&&this.addAttribution(t._layers[i].getAttribution());return this._update(),this._container},setPrefix:function(t){return this.options.prefix=t,this._update(),this},addAttribution:function(t){return t?(this._attributions[t]||(this._attributions[t]=0),this._attributions[t]++,this._update(),this):this},removeAttribution:function(t){return t?(this._attributions[t]&&(this._attributions[t]--,this._update()),this):this},_update:function(){if(this._map){var t=[];for(var i in this._attributions)this._attributions[i]&&t.push(i);var e=[];this.options.prefix&&e.push(this.options.prefix),t.length&&e.push(t.join(", ")),this._container.innerHTML=e.join(" | ")}}});Le.mergeOptions({attributionControl:!0}),Le.addInitHook(function(){this.options.attributionControl&&(new Ce).addTo(this)});Pe.Layers=Te,Pe.Zoom=ze,Pe.Scale=Me,Pe.Attribution=Ce,be.layers=function(t,i,e){return new Te(t,i,e)},be.zoom=function(t){return new ze(t)},be.scale=function(t){return new Me(t)},be.attribution=function(t){return new Ce(t)};var Ze=v.extend({initialize:function(t){this._map=t},enable:function(){return this._enabled?this:(this._enabled=!0,this.addHooks(),this)},disable:function(){return this._enabled?(this._enabled=!1,this.removeHooks(),this):this},enabled:function(){return!!this._enabled}});Ze.addTo=function(t,i){return t.addHandler(i,this),this};var Se,Ee={Events:hi},ke=Vi?"touchstart mousedown":"mousedown",Ae={mousedown:"mouseup",touchstart:"touchend",pointerdown:"touchend",MSPointerDown:"touchend"},Ie={mousedown:"mousemove",touchstart:"touchmove",pointerdown:"touchmove",MSPointerDown:"touchmove"},Be=ui.extend({options:{clickTolerance:3},initialize:function(t,i,e,n){l(this,n),this._element=t,this._dragStartTarget=i||t,this._preventOutline=e},enable:function(){this._enabled||(V(this._dragStartTarget,ke,this._onDown,this),this._enabled=!0)},disable:function(){this._enabled&&(Be._dragging===this&&this.finishDrag(),q(this._dragStartTarget,ke,this._onDown,this),this._enabled=!1,this._moved=!1)},_onDown:function(t){if(!t._simulated&&this._enabled&&(this._moved=!1,!dt(this._element,"leaflet-zoom-anim")&&!(Be._dragging||t.shiftKey||1!==t.which&&1!==t.button&&!t.touches||(Be._dragging=this,this._preventOutline&&zt(this._element),bt(),mi(),this._moving)))){this.fire("down");var i=t.touches?t.touches[0]:t;this._startPoint=new x(i.clientX,i.clientY),V(document,Ie[t.type],this._onMove,this),V(document,Ae[t.type],this._onUp,this)}},_onMove:function(t){if(!t._simulated&&this._enabled)if(t.touches&&t.touches.length>1)this._moved=!0;else{var i=t.touches&&1===t.touches.length?t.touches[0]:t,e=new x(i.clientX,i.clientY).subtract(this._startPoint);(e.x||e.y)&&(Math.abs(e.x)+Math.abs(e.y)<this.options.clickTolerance||($(t),this._moved||(this.fire("dragstart"),this._moved=!0,this._startPos=Pt(this._element).subtract(e),pt(document.body,"leaflet-dragging"),this._lastTarget=t.target||t.srcElement,window.SVGElementInstance&&this._lastTarget instanceof SVGElementInstance&&(this._lastTarget=this._lastTarget.correspondingUseElement),pt(this._lastTarget,"leaflet-drag-target")),this._newPos=this._startPos.add(e),this._moving=!0,g(this._animRequest),this._lastEvent=t,this._animRequest=f(this._updatePosition,this,!0)))}},_updatePosition:function(){var t={originalEvent:this._lastEvent};this.fire("predrag",t),Lt(this._element,this._newPos),this.fire("drag",t)},_onUp:function(t){!t._simulated&&this._enabled&&this.finishDrag()},finishDrag:function(){mt(document.body,"leaflet-dragging"),this._lastTarget&&(mt(this._lastTarget,"leaflet-drag-target"),this._lastTarget=null);for(var t in Ie)q(document,Ie[t],this._onMove,this),q(document,Ae[t],this._onUp,this);Tt(),fi(),this._moved&&this._moving&&(g(this._animRequest),this.fire("dragend",{distance:this._newPos.distanceTo(this._startPos)})),this._moving=!1,Be._dragging=!1}}),Oe=(Object.freeze||Object)({simplify:Ct,pointToSegmentDistance:Zt,closestPointOnSegment:function(t,i,e){return Rt(t,i,e)},clipSegment:At,_getEdgeIntersection:It,_getBitCode:Bt,_sqClosestPointOnSegment:Rt,isFlat:Dt,_flat:Nt}),Re=(Object.freeze||Object)({clipPolygon:jt}),De={project:function(t){return new x(t.lng,t.lat)},unproject:function(t){return new M(t.y,t.x)},bounds:new P([-180,-90],[180,90])},Ne={R:6378137,R_MINOR:6356752.314245179,bounds:new P([-20037508.34279,-15496570.73972],[20037508.34279,18764656.23138]),project:function(t){var i=Math.PI/180,e=this.R,n=t.lat*i,o=this.R_MINOR/e,s=Math.sqrt(1-o*o),r=s*Math.sin(n),a=Math.tan(Math.PI/4-n/2)/Math.pow((1-r)/(1+r),s/2);return n=-e*Math.log(Math.max(a,1e-10)),new x(t.lng*i*e,n)},unproject:function(t){for(var i,e=180/Math.PI,n=this.R,o=this.R_MINOR/n,s=Math.sqrt(1-o*o),r=Math.exp(-t.y/n),a=Math.PI/2-2*Math.atan(r),h=0,u=.1;h<15&&Math.abs(u)>1e-7;h++)i=s*Math.sin(a),i=Math.pow((1-i)/(1+i),s/2),a+=u=Math.PI/2-2*Math.atan(r*i)-a;return new M(a*e,t.x*e/n)}},je=(Object.freeze||Object)({LonLat:De,Mercator:Ne,SphericalMercator:di}),We=i({},_i,{code:"EPSG:3395",projection:Ne,transformation:function(){var t=.5/(Math.PI*Ne.R);return S(t,.5,-t,.5)}()}),He=i({},_i,{code:"EPSG:4326",projection:De,transformation:S(1/180,1,-1/180,.5)}),Fe=i({},ci,{projection:De,transformation:S(1,0,-1,0),scale:function(t){return Math.pow(2,t)},zoom:function(t){return Math.log(t)/Math.LN2},distance:function(t,i){var e=i.lng-t.lng,n=i.lat-t.lat;return Math.sqrt(e*e+n*n)},infinite:!0});ci.Earth=_i,ci.EPSG3395=We,ci.EPSG3857=vi,ci.EPSG900913=yi,ci.EPSG4326=He,ci.Simple=Fe;var Ue=ui.extend({options:{pane:"overlayPane",attribution:null,bubblingMouseEvents:!0},addTo:function(t){return t.addLayer(this),this},remove:function(){return this.removeFrom(this._map||this._mapToAdd)},removeFrom:function(t){return t&&t.removeLayer(this),this},getPane:function(t){return this._map.getPane(t?this.options[t]||t:this.options.pane)},addInteractiveTarget:function(t){return this._map._targets[n(t)]=this,this},removeInteractiveTarget:function(t){return delete this._map._targets[n(t)],this},getAttribution:function(){return this.options.attribution},_layerAdd:function(t){var i=t.target;if(i.hasLayer(this)){if(this._map=i,this._zoomAnimated=i._zoomAnimated,this.getEvents){var e=this.getEvents();i.on(e,this),this.once("remove",function(){i.off(e,this)},this)}this.onAdd(i),this.getAttribution&&i.attributionControl&&i.attributionControl.addAttribution(this.getAttribution()),this.fire("add"),i.fire("layeradd",{layer:this})}}});Le.include({addLayer:function(t){if(!t._layerAdd)throw new Error("The provided object is not a Layer.");var i=n(t);return this._layers[i]?this:(this._layers[i]=t,t._mapToAdd=this,t.beforeAdd&&t.beforeAdd(this),this.whenReady(t._layerAdd,t),this)},removeLayer:function(t){var i=n(t);return this._layers[i]?(this._loaded&&t.onRemove(this),t.getAttribution&&this.attributionControl&&this.attributionControl.removeAttribution(t.getAttribution()),delete this._layers[i],this._loaded&&(this.fire("layerremove",{layer:t}),t.fire("remove")),t._map=t._mapToAdd=null,this):this},hasLayer:function(t){return!!t&&n(t)in this._layers},eachLayer:function(t,i){for(var e in this._layers)t.call(i,this._layers[e]);return this},_addLayers:function(t){for(var i=0,e=(t=t?ei(t)?t:[t]:[]).length;i<e;i++)this.addLayer(t[i])},_addZoomLimit:function(t){!isNaN(t.options.maxZoom)&&isNaN(t.options.minZoom)||(this._zoomBoundLayers[n(t)]=t,this._updateZoomLevels())},_removeZoomLimit:function(t){var i=n(t);this._zoomBoundLayers[i]&&(delete this._zoomBoundLayers[i],this._updateZoomLevels())},_updateZoomLevels:function(){var t=1/0,i=-1/0,e=this._getZoomSpan();for(var n in this._zoomBoundLayers){var o=this._zoomBoundLayers[n].options;t=void 0===o.minZoom?t:Math.min(t,o.minZoom),i=void 0===o.maxZoom?i:Math.max(i,o.maxZoom)}this._layersMaxZoom=i===-1/0?void 0:i,this._layersMinZoom=t===1/0?void 0:t,e!==this._getZoomSpan()&&this.fire("zoomlevelschange"),void 0===this.options.maxZoom&&this._layersMaxZoom&&this.getZoom()>this._layersMaxZoom&&this.setZoom(this._layersMaxZoom),void 0===this.options.minZoom&&this._layersMinZoom&&this.getZoom()<this._layersMinZoom&&this.setZoom(this._layersMinZoom)}});var Ve=Ue.extend({initialize:function(t,i){l(this,i),this._layers={};var e,n;if(t)for(e=0,n=t.length;e<n;e++)this.addLayer(t[e])},addLayer:function(t){var i=this.getLayerId(t);return this._layers[i]=t,this._map&&this._map.addLayer(t),this},removeLayer:function(t){var i=t in this._layers?t:this.getLayerId(t);return this._map&&this._layers[i]&&this._map.removeLayer(this._layers[i]),delete this._layers[i],this},hasLayer:function(t){return!!t&&(t in this._layers||this.getLayerId(t)in this._layers)},clearLayers:function(){return this.eachLayer(this.removeLayer,this)},invoke:function(t){var i,e,n=Array.prototype.slice.call(arguments,1);for(i in this._layers)(e=this._layers[i])[t]&&e[t].apply(e,n);return this},onAdd:function(t){this.eachLayer(t.addLayer,t)},onRemove:function(t){this.eachLayer(t.removeLayer,t)},eachLayer:function(t,i){for(var e in this._layers)t.call(i,this._layers[e]);return this},getLayer:function(t){return this._layers[t]},getLayers:function(){var t=[];return this.eachLayer(t.push,t),t},setZIndex:function(t){return this.invoke("setZIndex",t)},getLayerId:function(t){return n(t)}}),qe=Ve.extend({addLayer:function(t){return this.hasLayer(t)?this:(t.addEventParent(this),Ve.prototype.addLayer.call(this,t),this.fire("layeradd",{layer:t}))},removeLayer:function(t){return this.hasLayer(t)?(t in this._layers&&(t=this._layers[t]),t.removeEventParent(this),Ve.prototype.removeLayer.call(this,t),this.fire("layerremove",{layer:t})):this},setStyle:function(t){return this.invoke("setStyle",t)},bringToFront:function(){return this.invoke("bringToFront")},bringToBack:function(){return this.invoke("bringToBack")},getBounds:function(){var t=new T;for(var i in this._layers){var e=this._layers[i];t.extend(e.getBounds?e.getBounds():e.getLatLng())}return t}}),Ge=v.extend({options:{popupAnchor:[0,0],tooltipAnchor:[0,0]},initialize:function(t){l(this,t)},createIcon:function(t){return this._createIcon("icon",t)},createShadow:function(t){return this._createIcon("shadow",t)},_createIcon:function(t,i){var e=this._getIconUrl(t);if(!e){if("icon"===t)throw new Error("iconUrl not set in Icon options (see the docs).");return null}var n=this._createImg(e,i&&"IMG"===i.tagName?i:null);return this._setIconStyles(n,t),n},_setIconStyles:function(t,i){var e=this.options,n=e[i+"Size"];"number"==typeof n&&(n=[n,n]);var o=w(n),s=w("shadow"===i&&e.shadowAnchor||e.iconAnchor||o&&o.divideBy(2,!0));t.className="leaflet-marker-"+i+" "+(e.className||""),s&&(t.style.marginLeft=-s.x+"px",t.style.marginTop=-s.y+"px"),o&&(t.style.width=o.x+"px",t.style.height=o.y+"px")},_createImg:function(t,i){return i=i||document.createElement("img"),i.src=t,i},_getIconUrl:function(t){return Ki&&this.options[t+"RetinaUrl"]||this.options[t+"Url"]}}),Ke=Ge.extend({options:{iconUrl:"marker-icon.png",iconRetinaUrl:"marker-icon-2x.png",shadowUrl:"marker-shadow.png",iconSize:[25,41],iconAnchor:[12,41],popupAnchor:[1,-34],tooltipAnchor:[16,-28],shadowSize:[41,41]},_getIconUrl:function(t){return Ke.imagePath||(Ke.imagePath=this._detectIconPath()),(this.options.imagePath||Ke.imagePath)+Ge.prototype._getIconUrl.call(this,t)},_detectIconPath:function(){var t=ht("div","leaflet-default-icon-path",document.body),i=at(t,"background-image")||at(t,"backgroundImage");return document.body.removeChild(t),i=null===i||0!==i.indexOf("url")?"":i.replace(/^url\(["']?/,"").replace(/marker-icon\.png["']?\)$/,"")}}),Ye=Ze.extend({initialize:function(t){this._marker=t},addHooks:function(){var t=this._marker._icon;this._draggable||(this._draggable=new Be(t,t,!0)),this._draggable.on({dragstart:this._onDragStart,predrag:this._onPreDrag,drag:this._onDrag,dragend:this._onDragEnd},this).enable(),pt(t,"leaflet-marker-draggable")},removeHooks:function(){this._draggable.off({dragstart:this._onDragStart,predrag:this._onPreDrag,drag:this._onDrag,dragend:this._onDragEnd},this).disable(),this._marker._icon&&mt(this._marker._icon,"leaflet-marker-draggable")},moved:function(){return this._draggable&&this._draggable._moved},_adjustPan:function(t){var i=this._marker,e=i._map,n=this._marker.options.autoPanSpeed,o=this._marker.options.autoPanPadding,s=L.DomUtil.getPosition(i._icon),r=e.getPixelBounds(),a=e.getPixelOrigin(),h=b(r.min._subtract(a).add(o),r.max._subtract(a).subtract(o));if(!h.contains(s)){var u=w((Math.max(h.max.x,s.x)-h.max.x)/(r.max.x-h.max.x)-(Math.min(h.min.x,s.x)-h.min.x)/(r.min.x-h.min.x),(Math.max(h.max.y,s.y)-h.max.y)/(r.max.y-h.max.y)-(Math.min(h.min.y,s.y)-h.min.y)/(r.min.y-h.min.y)).multiplyBy(n);e.panBy(u,{animate:!1}),this._draggable._newPos._add(u),this._draggable._startPos._add(u),L.DomUtil.setPosition(i._icon,this._draggable._newPos),this._onDrag(t),this._panRequest=f(this._adjustPan.bind(this,t))}},_onDragStart:function(){this._oldLatLng=this._marker.getLatLng(),this._marker.closePopup().fire("movestart").fire("dragstart")},_onPreDrag:function(t){this._marker.options.autoPan&&(g(this._panRequest),this._panRequest=f(this._adjustPan.bind(this,t)))},_onDrag:function(t){var i=this._marker,e=i._shadow,n=Pt(i._icon),o=i._map.layerPointToLatLng(n);e&&Lt(e,n),i._latlng=o,t.latlng=o,t.oldLatLng=this._oldLatLng,i.fire("move",t).fire("drag",t)},_onDragEnd:function(t){g(this._panRequest),delete this._oldLatLng,this._marker.fire("moveend").fire("dragend",t)}}),Xe=Ue.extend({options:{icon:new Ke,interactive:!0,draggable:!1,autoPan:!1,autoPanPadding:[50,50],autoPanSpeed:10,keyboard:!0,title:"",alt:"",zIndexOffset:0,opacity:1,riseOnHover:!1,riseOffset:250,pane:"markerPane",bubblingMouseEvents:!1},initialize:function(t,i){l(this,i),this._latlng=C(t)},onAdd:function(t){this._zoomAnimated=this._zoomAnimated&&t.options.markerZoomAnimation,this._zoomAnimated&&t.on("zoomanim",this._animateZoom,this),this._initIcon(),this.update()},onRemove:function(t){this.dragging&&this.dragging.enabled()&&(this.options.draggable=!0,this.dragging.removeHooks()),delete this.dragging,this._zoomAnimated&&t.off("zoomanim",this._animateZoom,this),this._removeIcon(),this._removeShadow()},getEvents:function(){return{zoom:this.update,viewreset:this.update}},getLatLng:function(){return this._latlng},setLatLng:function(t){var i=this._latlng;return this._latlng=C(t),this.update(),this.fire("move",{oldLatLng:i,latlng:this._latlng})},setZIndexOffset:function(t){return this.options.zIndexOffset=t,this.update()},setIcon:function(t){return this.options.icon=t,this._map&&(this._initIcon(),this.update()),this._popup&&this.bindPopup(this._popup,this._popup.options),this},getElement:function(){return this._icon},update:function(){if(this._icon&&this._map){var t=this._map.latLngToLayerPoint(this._latlng).round();this._setPos(t)}return this},_initIcon:function(){var t=this.options,i="leaflet-zoom-"+(this._zoomAnimated?"animated":"hide"),e=t.icon.createIcon(this._icon),n=!1;e!==this._icon&&(this._icon&&this._removeIcon(),n=!0,t.title&&(e.title=t.title),"IMG"===e.tagName&&(e.alt=t.alt||"")),pt(e,i),t.keyboard&&(e.tabIndex="0"),this._icon=e,t.riseOnHover&&this.on({mouseover:this._bringToFront,mouseout:this._resetZIndex});var o=t.icon.createShadow(this._shadow),s=!1;o!==this._shadow&&(this._removeShadow(),s=!0),o&&(pt(o,i),o.alt=""),this._shadow=o,t.opacity<1&&this._updateOpacity(),n&&this.getPane().appendChild(this._icon),this._initInteraction(),o&&s&&this.getPane("shadowPane").appendChild(this._shadow)},_removeIcon:function(){this.options.riseOnHover&&this.off({mouseover:this._bringToFront,mouseout:this._resetZIndex}),ut(this._icon),this.removeInteractiveTarget(this._icon),this._icon=null},_removeShadow:function(){this._shadow&&ut(this._shadow),this._shadow=null},_setPos:function(t){Lt(this._icon,t),this._shadow&&Lt(this._shadow,t),this._zIndex=t.y+this.options.zIndexOffset,this._resetZIndex()},_updateZIndex:function(t){this._icon.style.zIndex=this._zIndex+t},_animateZoom:function(t){var i=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center).round();this._setPos(i)},_initInteraction:function(){if(this.options.interactive&&(pt(this._icon,"leaflet-interactive"),this.addInteractiveTarget(this._icon),Ye)){var t=this.options.draggable;this.dragging&&(t=this.dragging.enabled(),this.dragging.disable()),this.dragging=new Ye(this),t&&this.dragging.enable()}},setOpacity:function(t){return this.options.opacity=t,this._map&&this._updateOpacity(),this},_updateOpacity:function(){var t=this.options.opacity;vt(this._icon,t),this._shadow&&vt(this._shadow,t)},_bringToFront:function(){this._updateZIndex(this.options.riseOffset)},_resetZIndex:function(){this._updateZIndex(0)},_getPopupAnchor:function(){return this.options.icon.options.popupAnchor},_getTooltipAnchor:function(){return this.options.icon.options.tooltipAnchor}}),Je=Ue.extend({options:{stroke:!0,color:"#3388ff",weight:3,opacity:1,lineCap:"round",lineJoin:"round",dashArray:null,dashOffset:null,fill:!1,fillColor:null,fillOpacity:.2,fillRule:"evenodd",interactive:!0,bubblingMouseEvents:!0},beforeAdd:function(t){this._renderer=t.getRenderer(this)},onAdd:function(){this._renderer._initPath(this),this._reset(),this._renderer._addPath(this)},onRemove:function(){this._renderer._removePath(this)},redraw:function(){return this._map&&this._renderer._updatePath(this),this},setStyle:function(t){return l(this,t),this._renderer&&this._renderer._updateStyle(this),this},bringToFront:function(){return this._renderer&&this._renderer._bringToFront(this),this},bringToBack:function(){return this._renderer&&this._renderer._bringToBack(this),this},getElement:function(){return this._path},_reset:function(){this._project(),this._update()},_clickTolerance:function(){return(this.options.stroke?this.options.weight/2:0)+this._renderer.options.tolerance}}),$e=Je.extend({options:{fill:!0,radius:10},initialize:function(t,i){l(this,i),this._latlng=C(t),this._radius=this.options.radius},setLatLng:function(t){return this._latlng=C(t),this.redraw(),this.fire("move",{latlng:this._latlng})},getLatLng:function(){return this._latlng},setRadius:function(t){return this.options.radius=this._radius=t,this.redraw()},getRadius:function(){return this._radius},setStyle:function(t){var i=t&&t.radius||this._radius;return Je.prototype.setStyle.call(this,t),this.setRadius(i),this},_project:function(){this._point=this._map.latLngToLayerPoint(this._latlng),this._updateBounds()},_updateBounds:function(){var t=this._radius,i=this._radiusY||t,e=this._clickTolerance(),n=[t+e,i+e];this._pxBounds=new P(this._point.subtract(n),this._point.add(n))},_update:function(){this._map&&this._updatePath()},_updatePath:function(){this._renderer._updateCircle(this)},_empty:function(){return this._radius&&!this._renderer._bounds.intersects(this._pxBounds)},_containsPoint:function(t){return t.distanceTo(this._point)<=this._radius+this._clickTolerance()}}),Qe=$e.extend({initialize:function(t,e,n){if("number"==typeof e&&(e=i({},n,{radius:e})),l(this,e),this._latlng=C(t),isNaN(this.options.radius))throw new Error("Circle radius cannot be NaN");this._mRadius=this.options.radius},setRadius:function(t){return this._mRadius=t,this.redraw()},getRadius:function(){return this._mRadius},getBounds:function(){var t=[this._radius,this._radiusY||this._radius];return new T(this._map.layerPointToLatLng(this._point.subtract(t)),this._map.layerPointToLatLng(this._point.add(t)))},setStyle:Je.prototype.setStyle,_project:function(){var t=this._latlng.lng,i=this._latlng.lat,e=this._map,n=e.options.crs;if(n.distance===_i.distance){var o=Math.PI/180,s=this._mRadius/_i.R/o,r=e.project([i+s,t]),a=e.project([i-s,t]),h=r.add(a).divideBy(2),u=e.unproject(h).lat,l=Math.acos((Math.cos(s*o)-Math.sin(i*o)*Math.sin(u*o))/(Math.cos(i*o)*Math.cos(u*o)))/o;(isNaN(l)||0===l)&&(l=s/Math.cos(Math.PI/180*i)),this._point=h.subtract(e.getPixelOrigin()),this._radius=isNaN(l)?0:h.x-e.project([u,t-l]).x,this._radiusY=h.y-r.y}else{var c=n.unproject(n.project(this._latlng).subtract([this._mRadius,0]));this._point=e.latLngToLayerPoint(this._latlng),this._radius=this._point.x-e.latLngToLayerPoint(c).x}this._updateBounds()}}),tn=Je.extend({options:{smoothFactor:1,noClip:!1},initialize:function(t,i){l(this,i),this._setLatLngs(t)},getLatLngs:function(){return this._latlngs},setLatLngs:function(t){return this._setLatLngs(t),this.redraw()},isEmpty:function(){return!this._latlngs.length},closestLayerPoint:function(t){for(var i,e,n=1/0,o=null,s=Rt,r=0,a=this._parts.length;r<a;r++)for(var h=this._parts[r],u=1,l=h.length;u<l;u++){var c=s(t,i=h[u-1],e=h[u],!0);c<n&&(n=c,o=s(t,i,e))}return o&&(o.distance=Math.sqrt(n)),o},getCenter:function(){if(!this._map)throw new Error("Must add layer to map before using getCenter()");var t,i,e,n,o,s,r,a=this._rings[0],h=a.length;if(!h)return null;for(t=0,i=0;t<h-1;t++)i+=a[t].distanceTo(a[t+1])/2;if(0===i)return this._map.layerPointToLatLng(a[0]);for(t=0,n=0;t<h-1;t++)if(o=a[t],s=a[t+1],e=o.distanceTo(s),(n+=e)>i)return r=(n-i)/e,this._map.layerPointToLatLng([s.x-r*(s.x-o.x),s.y-r*(s.y-o.y)])},getBounds:function(){return this._bounds},addLatLng:function(t,i){return i=i||this._defaultShape(),t=C(t),i.push(t),this._bounds.extend(t),this.redraw()},_setLatLngs:function(t){this._bounds=new T,this._latlngs=this._convertLatLngs(t)},_defaultShape:function(){return Dt(this._latlngs)?this._latlngs:this._latlngs[0]},_convertLatLngs:function(t){for(var i=[],e=Dt(t),n=0,o=t.length;n<o;n++)e?(i[n]=C(t[n]),this._bounds.extend(i[n])):i[n]=this._convertLatLngs(t[n]);return i},_project:function(){var t=new P;this._rings=[],this._projectLatlngs(this._latlngs,this._rings,t);var i=this._clickTolerance(),e=new x(i,i);this._bounds.isValid()&&t.isValid()&&(t.min._subtract(e),t.max._add(e),this._pxBounds=t)},_projectLatlngs:function(t,i,e){var n,o,s=t[0]instanceof M,r=t.length;if(s){for(o=[],n=0;n<r;n++)o[n]=this._map.latLngToLayerPoint(t[n]),e.extend(o[n]);i.push(o)}else for(n=0;n<r;n++)this._projectLatlngs(t[n],i,e)},_clipPoints:function(){var t=this._renderer._bounds;if(this._parts=[],this._pxBounds&&this._pxBounds.intersects(t))if(this.options.noClip)this._parts=this._rings;else{var i,e,n,o,s,r,a,h=this._parts;for(i=0,n=0,o=this._rings.length;i<o;i++)for(e=0,s=(a=this._rings[i]).length;e<s-1;e++)(r=At(a[e],a[e+1],t,e,!0))&&(h[n]=h[n]||[],h[n].push(r[0]),r[1]===a[e+1]&&e!==s-2||(h[n].push(r[1]),n++))}},_simplifyPoints:function(){for(var t=this._parts,i=this.options.smoothFactor,e=0,n=t.length;e<n;e++)t[e]=Ct(t[e],i)},_update:function(){this._map&&(this._clipPoints(),this._simplifyPoints(),this._updatePath())},_updatePath:function(){this._renderer._updatePoly(this)},_containsPoint:function(t,i){var e,n,o,s,r,a,h=this._clickTolerance();if(!this._pxBounds||!this._pxBounds.contains(t))return!1;for(e=0,s=this._parts.length;e<s;e++)for(n=0,o=(r=(a=this._parts[e]).length)-1;n<r;o=n++)if((i||0!==n)&&Zt(t,a[o],a[n])<=h)return!0;return!1}});tn._flat=Nt;var en=tn.extend({options:{fill:!0},isEmpty:function(){return!this._latlngs.length||!this._latlngs[0].length},getCenter:function(){if(!this._map)throw new Error("Must add layer to map before using getCenter()");var t,i,e,n,o,s,r,a,h,u=this._rings[0],l=u.length;if(!l)return null;for(s=r=a=0,t=0,i=l-1;t<l;i=t++)e=u[t],n=u[i],o=e.y*n.x-n.y*e.x,r+=(e.x+n.x)*o,a+=(e.y+n.y)*o,s+=3*o;return h=0===s?u[0]:[r/s,a/s],this._map.layerPointToLatLng(h)},_convertLatLngs:function(t){var i=tn.prototype._convertLatLngs.call(this,t),e=i.length;return e>=2&&i[0]instanceof M&&i[0].equals(i[e-1])&&i.pop(),i},_setLatLngs:function(t){tn.prototype._setLatLngs.call(this,t),Dt(this._latlngs)&&(this._latlngs=[this._latlngs])},_defaultShape:function(){return Dt(this._latlngs[0])?this._latlngs[0]:this._latlngs[0][0]},_clipPoints:function(){var t=this._renderer._bounds,i=this.options.weight,e=new x(i,i);if(t=new P(t.min.subtract(e),t.max.add(e)),this._parts=[],this._pxBounds&&this._pxBounds.intersects(t))if(this.options.noClip)this._parts=this._rings;else for(var n,o=0,s=this._rings.length;o<s;o++)(n=jt(this._rings[o],t,!0)).length&&this._parts.push(n)},_updatePath:function(){this._renderer._updatePoly(this,!0)},_containsPoint:function(t){var i,e,n,o,s,r,a,h,u=!1;if(!this._pxBounds.contains(t))return!1;for(o=0,a=this._parts.length;o<a;o++)for(s=0,r=(h=(i=this._parts[o]).length)-1;s<h;r=s++)e=i[s],n=i[r],e.y>t.y!=n.y>t.y&&t.x<(n.x-e.x)*(t.y-e.y)/(n.y-e.y)+e.x&&(u=!u);return u||tn.prototype._containsPoint.call(this,t,!0)}}),nn=qe.extend({initialize:function(t,i){l(this,i),this._layers={},t&&this.addData(t)},addData:function(t){var i,e,n,o=ei(t)?t:t.features;if(o){for(i=0,e=o.length;i<e;i++)((n=o[i]).geometries||n.geometry||n.features||n.coordinates)&&this.addData(n);return this}var s=this.options;if(s.filter&&!s.filter(t))return this;var r=Wt(t,s);return r?(r.feature=Gt(t),r.defaultOptions=r.options,this.resetStyle(r),s.onEachFeature&&s.onEachFeature(t,r),this.addLayer(r)):this},resetStyle:function(t){return t.options=i({},t.defaultOptions),this._setLayerStyle(t,this.options.style),this},setStyle:function(t){return this.eachLayer(function(i){this._setLayerStyle(i,t)},this)},_setLayerStyle:function(t,i){"function"==typeof i&&(i=i(t.feature)),t.setStyle&&t.setStyle(i)}}),on={toGeoJSON:function(t){return qt(this,{type:"Point",coordinates:Ut(this.getLatLng(),t)})}};Xe.include(on),Qe.include(on),$e.include(on),tn.include({toGeoJSON:function(t){var i=!Dt(this._latlngs),e=Vt(this._latlngs,i?1:0,!1,t);return qt(this,{type:(i?"Multi":"")+"LineString",coordinates:e})}}),en.include({toGeoJSON:function(t){var i=!Dt(this._latlngs),e=i&&!Dt(this._latlngs[0]),n=Vt(this._latlngs,e?2:i?1:0,!0,t);return i||(n=[n]),qt(this,{type:(e?"Multi":"")+"Polygon",coordinates:n})}}),Ve.include({toMultiPoint:function(t){var i=[];return this.eachLayer(function(e){i.push(e.toGeoJSON(t).geometry.coordinates)}),qt(this,{type:"MultiPoint",coordinates:i})},toGeoJSON:function(t){var i=this.feature&&this.feature.geometry&&this.feature.geometry.type;if("MultiPoint"===i)return this.toMultiPoint(t);var e="GeometryCollection"===i,n=[];return this.eachLayer(function(i){if(i.toGeoJSON){var o=i.toGeoJSON(t);if(e)n.push(o.geometry);else{var s=Gt(o);"FeatureCollection"===s.type?n.push.apply(n,s.features):n.push(s)}}}),e?qt(this,{geometries:n,type:"GeometryCollection"}):{type:"FeatureCollection",features:n}}});var sn=Kt,rn=Ue.extend({options:{opacity:1,alt:"",interactive:!1,crossOrigin:!1,errorOverlayUrl:"",zIndex:1,className:""},initialize:function(t,i,e){this._url=t,this._bounds=z(i),l(this,e)},onAdd:function(){this._image||(this._initImage(),this.options.opacity<1&&this._updateOpacity()),this.options.interactive&&(pt(this._image,"leaflet-interactive"),this.addInteractiveTarget(this._image)),this.getPane().appendChild(this._image),this._reset()},onRemove:function(){ut(this._image),this.options.interactive&&this.removeInteractiveTarget(this._image)},setOpacity:function(t){return this.options.opacity=t,this._image&&this._updateOpacity(),this},setStyle:function(t){return t.opacity&&this.setOpacity(t.opacity),this},bringToFront:function(){return this._map&&ct(this._image),this},bringToBack:function(){return this._map&&_t(this._image),this},setUrl:function(t){return this._url=t,this._image&&(this._image.src=t),this},setBounds:function(t){return this._bounds=z(t),this._map&&this._reset(),this},getEvents:function(){var t={zoom:this._reset,viewreset:this._reset};return this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},setZIndex:function(t){return this.options.zIndex=t,this._updateZIndex(),this},getBounds:function(){return this._bounds},getElement:function(){return this._image},_initImage:function(){var t="IMG"===this._url.tagName,i=this._image=t?this._url:ht("img");pt(i,"leaflet-image-layer"),this._zoomAnimated&&pt(i,"leaflet-zoom-animated"),this.options.className&&pt(i,this.options.className),i.onselectstart=r,i.onmousemove=r,i.onload=e(this.fire,this,"load"),i.onerror=e(this._overlayOnError,this,"error"),this.options.crossOrigin&&(i.crossOrigin=""),this.options.zIndex&&this._updateZIndex(),t?this._url=i.src:(i.src=this._url,i.alt=this.options.alt)},_animateZoom:function(t){var i=this._map.getZoomScale(t.zoom),e=this._map._latLngBoundsToNewLayerBounds(this._bounds,t.zoom,t.center).min;wt(this._image,e,i)},_reset:function(){var t=this._image,i=new P(this._map.latLngToLayerPoint(this._bounds.getNorthWest()),this._map.latLngToLayerPoint(this._bounds.getSouthEast())),e=i.getSize();Lt(t,i.min),t.style.width=e.x+"px",t.style.height=e.y+"px"},_updateOpacity:function(){vt(this._image,this.options.opacity)},_updateZIndex:function(){this._image&&void 0!==this.options.zIndex&&null!==this.options.zIndex&&(this._image.style.zIndex=this.options.zIndex)},_overlayOnError:function(){this.fire("error");var t=this.options.errorOverlayUrl;t&&this._url!==t&&(this._url=t,this._image.src=t)}}),an=rn.extend({options:{autoplay:!0,loop:!0},_initImage:function(){var t="VIDEO"===this._url.tagName,i=this._image=t?this._url:ht("video");if(pt(i,"leaflet-image-layer"),this._zoomAnimated&&pt(i,"leaflet-zoom-animated"),i.onselectstart=r,i.onmousemove=r,i.onloadeddata=e(this.fire,this,"load"),t){for(var n=i.getElementsByTagName("source"),o=[],s=0;s<n.length;s++)o.push(n[s].src);this._url=n.length>0?o:[i.src]}else{ei(this._url)||(this._url=[this._url]),i.autoplay=!!this.options.autoplay,i.loop=!!this.options.loop;for(var a=0;a<this._url.length;a++){var h=ht("source");h.src=this._url[a],i.appendChild(h)}}}}),hn=Ue.extend({options:{offset:[0,7],className:"",pane:"popupPane"},initialize:function(t,i){l(this,t),this._source=i},onAdd:function(t){this._zoomAnimated=t._zoomAnimated,this._container||this._initLayout(),t._fadeAnimated&&vt(this._container,0),clearTimeout(this._removeTimeout),this.getPane().appendChild(this._container),this.update(),t._fadeAnimated&&vt(this._container,1),this.bringToFront()},onRemove:function(t){t._fadeAnimated?(vt(this._container,0),this._removeTimeout=setTimeout(e(ut,void 0,this._container),200)):ut(this._container)},getLatLng:function(){return this._latlng},setLatLng:function(t){return this._latlng=C(t),this._map&&(this._updatePosition(),this._adjustPan()),this},getContent:function(){return this._content},setContent:function(t){return this._content=t,this.update(),this},getElement:function(){return this._container},update:function(){this._map&&(this._container.style.visibility="hidden",this._updateContent(),this._updateLayout(),this._updatePosition(),this._container.style.visibility="",this._adjustPan())},getEvents:function(){var t={zoom:this._updatePosition,viewreset:this._updatePosition};return this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},isOpen:function(){return!!this._map&&this._map.hasLayer(this)},bringToFront:function(){return this._map&&ct(this._container),this},bringToBack:function(){return this._map&&_t(this._container),this},_updateContent:function(){if(this._content){var t=this._contentNode,i="function"==typeof this._content?this._content(this._source||this):this._content;if("string"==typeof i)t.innerHTML=i;else{for(;t.hasChildNodes();)t.removeChild(t.firstChild);t.appendChild(i)}this.fire("contentupdate")}},_updatePosition:function(){if(this._map){var t=this._map.latLngToLayerPoint(this._latlng),i=w(this.options.offset),e=this._getAnchor();this._zoomAnimated?Lt(this._container,t.add(e)):i=i.add(t).add(e);var n=this._containerBottom=-i.y,o=this._containerLeft=-Math.round(this._containerWidth/2)+i.x;this._container.style.bottom=n+"px",this._container.style.left=o+"px"}},_getAnchor:function(){return[0,0]}}),un=hn.extend({options:{maxWidth:300,minWidth:50,maxHeight:null,autoPan:!0,autoPanPaddingTopLeft:null,autoPanPaddingBottomRight:null,autoPanPadding:[5,5],keepInView:!1,closeButton:!0,autoClose:!0,closeOnEscapeKey:!0,className:""},openOn:function(t){return t.openPopup(this),this},onAdd:function(t){hn.prototype.onAdd.call(this,t),t.fire("popupopen",{popup:this}),this._source&&(this._source.fire("popupopen",{popup:this},!0),this._source instanceof Je||this._source.on("preclick",Y))},onRemove:function(t){hn.prototype.onRemove.call(this,t),t.fire("popupclose",{popup:this}),this._source&&(this._source.fire("popupclose",{popup:this},!0),this._source instanceof Je||this._source.off("preclick",Y))},getEvents:function(){var t=hn.prototype.getEvents.call(this);return(void 0!==this.options.closeOnClick?this.options.closeOnClick:this._map.options.closePopupOnClick)&&(t.preclick=this._close),this.options.keepInView&&(t.moveend=this._adjustPan),t},_close:function(){this._map&&this._map.closePopup(this)},_initLayout:function(){var t="leaflet-popup",i=this._container=ht("div",t+" "+(this.options.className||"")+" leaflet-zoom-animated"),e=this._wrapper=ht("div",t+"-content-wrapper",i);if(this._contentNode=ht("div",t+"-content",e),J(e),X(this._contentNode),V(e,"contextmenu",Y),this._tipContainer=ht("div",t+"-tip-container",i),this._tip=ht("div",t+"-tip",this._tipContainer),this.options.closeButton){var n=this._closeButton=ht("a",t+"-close-button",i);n.href="#close",n.innerHTML="×",V(n,"click",this._onCloseButtonClick,this)}},_updateLayout:function(){var t=this._contentNode,i=t.style;i.width="",i.whiteSpace="nowrap";var e=t.offsetWidth;e=Math.min(e,this.options.maxWidth),e=Math.max(e,this.options.minWidth),i.width=e+1+"px",i.whiteSpace="",i.height="";var n=t.offsetHeight,o=this.options.maxHeight;o&&n>o?(i.height=o+"px",pt(t,"leaflet-popup-scrolled")):mt(t,"leaflet-popup-scrolled"),this._containerWidth=this._container.offsetWidth},_animateZoom:function(t){var i=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center),e=this._getAnchor();Lt(this._container,i.add(e))},_adjustPan:function(){if(!(!this.options.autoPan||this._map._panAnim&&this._map._panAnim._inProgress)){var t=this._map,i=parseInt(at(this._container,"marginBottom"),10)||0,e=this._container.offsetHeight+i,n=this._containerWidth,o=new x(this._containerLeft,-e-this._containerBottom);o._add(Pt(this._container));var s=t.layerPointToContainerPoint(o),r=w(this.options.autoPanPadding),a=w(this.options.autoPanPaddingTopLeft||r),h=w(this.options.autoPanPaddingBottomRight||r),u=t.getSize(),l=0,c=0;s.x+n+h.x>u.x&&(l=s.x+n-u.x+h.x),s.x-l-a.x<0&&(l=s.x-a.x),s.y+e+h.y>u.y&&(c=s.y+e-u.y+h.y),s.y-c-a.y<0&&(c=s.y-a.y),(l||c)&&t.fire("autopanstart").panBy([l,c])}},_onCloseButtonClick:function(t){this._close(),Q(t)},_getAnchor:function(){return w(this._source&&this._source._getPopupAnchor?this._source._getPopupAnchor():[0,0])}});Le.mergeOptions({closePopupOnClick:!0}),Le.include({openPopup:function(t,i,e){return t instanceof un||(t=new un(e).setContent(t)),i&&t.setLatLng(i),this.hasLayer(t)?this:(this._popup&&this._popup.options.autoClose&&this.closePopup(),this._popup=t,this.addLayer(t))},closePopup:function(t){return t&&t!==this._popup||(t=this._popup,this._popup=null),t&&this.removeLayer(t),this}}),Ue.include({bindPopup:function(t,i){return t instanceof un?(l(t,i),this._popup=t,t._source=this):(this._popup&&!i||(this._popup=new un(i,this)),this._popup.setContent(t)),this._popupHandlersAdded||(this.on({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!0),this},unbindPopup:function(){return this._popup&&(this.off({click:this._openPopup,keypress:this._onKeyPress,remove:this.closePopup,move:this._movePopup}),this._popupHandlersAdded=!1,this._popup=null),this},openPopup:function(t,i){if(t instanceof Ue||(i=t,t=this),t instanceof qe)for(var e in this._layers){t=this._layers[e];break}return i||(i=t.getCenter?t.getCenter():t.getLatLng()),this._popup&&this._map&&(this._popup._source=t,this._popup.update(),this._map.openPopup(this._popup,i)),this},closePopup:function(){return this._popup&&this._popup._close(),this},togglePopup:function(t){return this._popup&&(this._popup._map?this.closePopup():this.openPopup(t)),this},isPopupOpen:function(){return!!this._popup&&this._popup.isOpen()},setPopupContent:function(t){return this._popup&&this._popup.setContent(t),this},getPopup:function(){return this._popup},_openPopup:function(t){var i=t.layer||t.target;this._popup&&this._map&&(Q(t),i instanceof Je?this.openPopup(t.layer||t.target,t.latlng):this._map.hasLayer(this._popup)&&this._popup._source===i?this.closePopup():this.openPopup(i,t.latlng))},_movePopup:function(t){this._popup.setLatLng(t.latlng)},_onKeyPress:function(t){13===t.originalEvent.keyCode&&this._openPopup(t)}});var ln=hn.extend({options:{pane:"tooltipPane",offset:[0,0],direction:"auto",permanent:!1,sticky:!1,interactive:!1,opacity:.9},onAdd:function(t){hn.prototype.onAdd.call(this,t),this.setOpacity(this.options.opacity),t.fire("tooltipopen",{tooltip:this}),this._source&&this._source.fire("tooltipopen",{tooltip:this},!0)},onRemove:function(t){hn.prototype.onRemove.call(this,t),t.fire("tooltipclose",{tooltip:this}),this._source&&this._source.fire("tooltipclose",{tooltip:this},!0)},getEvents:function(){var t=hn.prototype.getEvents.call(this);return Vi&&!this.options.permanent&&(t.preclick=this._close),t},_close:function(){this._map&&this._map.closeTooltip(this)},_initLayout:function(){var t="leaflet-tooltip "+(this.options.className||"")+" leaflet-zoom-"+(this._zoomAnimated?"animated":"hide");this._contentNode=this._container=ht("div",t)},_updateLayout:function(){},_adjustPan:function(){},_setPosition:function(t){var i=this._map,e=this._container,n=i.latLngToContainerPoint(i.getCenter()),o=i.layerPointToContainerPoint(t),s=this.options.direction,r=e.offsetWidth,a=e.offsetHeight,h=w(this.options.offset),u=this._getAnchor();"top"===s?t=t.add(w(-r/2+h.x,-a+h.y+u.y,!0)):"bottom"===s?t=t.subtract(w(r/2-h.x,-h.y,!0)):"center"===s?t=t.subtract(w(r/2+h.x,a/2-u.y+h.y,!0)):"right"===s||"auto"===s&&o.x<n.x?(s="right",t=t.add(w(h.x+u.x,u.y-a/2+h.y,!0))):(s="left",t=t.subtract(w(r+u.x-h.x,a/2-u.y-h.y,!0))),mt(e,"leaflet-tooltip-right"),mt(e,"leaflet-tooltip-left"),mt(e,"leaflet-tooltip-top"),mt(e,"leaflet-tooltip-bottom"),pt(e,"leaflet-tooltip-"+s),Lt(e,t)},_updatePosition:function(){var t=this._map.latLngToLayerPoint(this._latlng);this._setPosition(t)},setOpacity:function(t){this.options.opacity=t,this._container&&vt(this._container,t)},_animateZoom:function(t){var i=this._map._latLngToNewLayerPoint(this._latlng,t.zoom,t.center);this._setPosition(i)},_getAnchor:function(){return w(this._source&&this._source._getTooltipAnchor&&!this.options.sticky?this._source._getTooltipAnchor():[0,0])}});Le.include({openTooltip:function(t,i,e){return t instanceof ln||(t=new ln(e).setContent(t)),i&&t.setLatLng(i),this.hasLayer(t)?this:this.addLayer(t)},closeTooltip:function(t){return t&&this.removeLayer(t),this}}),Ue.include({bindTooltip:function(t,i){return t instanceof ln?(l(t,i),this._tooltip=t,t._source=this):(this._tooltip&&!i||(this._tooltip=new ln(i,this)),this._tooltip.setContent(t)),this._initTooltipInteractions(),this._tooltip.options.permanent&&this._map&&this._map.hasLayer(this)&&this.openTooltip(),this},unbindTooltip:function(){return this._tooltip&&(this._initTooltipInteractions(!0),this.closeTooltip(),this._tooltip=null),this},_initTooltipInteractions:function(t){if(t||!this._tooltipHandlersAdded){var i=t?"off":"on",e={remove:this.closeTooltip,move:this._moveTooltip};this._tooltip.options.permanent?e.add=this._openTooltip:(e.mouseover=this._openTooltip,e.mouseout=this.closeTooltip,this._tooltip.options.sticky&&(e.mousemove=this._moveTooltip),Vi&&(e.click=this._openTooltip)),this[i](e),this._tooltipHandlersAdded=!t}},openTooltip:function(t,i){if(t instanceof Ue||(i=t,t=this),t instanceof qe)for(var e in this._layers){t=this._layers[e];break}return i||(i=t.getCenter?t.getCenter():t.getLatLng()),this._tooltip&&this._map&&(this._tooltip._source=t,this._tooltip.update(),this._map.openTooltip(this._tooltip,i),this._tooltip.options.interactive&&this._tooltip._container&&(pt(this._tooltip._container,"leaflet-clickable"),this.addInteractiveTarget(this._tooltip._container))),this},closeTooltip:function(){return this._tooltip&&(this._tooltip._close(),this._tooltip.options.interactive&&this._tooltip._container&&(mt(this._tooltip._container,"leaflet-clickable"),this.removeInteractiveTarget(this._tooltip._container))),this},toggleTooltip:function(t){return this._tooltip&&(this._tooltip._map?this.closeTooltip():this.openTooltip(t)),this},isTooltipOpen:function(){return this._tooltip.isOpen()},setTooltipContent:function(t){return this._tooltip&&this._tooltip.setContent(t),this},getTooltip:function(){return this._tooltip},_openTooltip:function(t){var i=t.layer||t.target;this._tooltip&&this._map&&this.openTooltip(i,this._tooltip.options.sticky?t.latlng:void 0)},_moveTooltip:function(t){var i,e,n=t.latlng;this._tooltip.options.sticky&&t.originalEvent&&(i=this._map.mouseEventToContainerPoint(t.originalEvent),e=this._map.containerPointToLayerPoint(i),n=this._map.layerPointToLatLng(e)),this._tooltip.setLatLng(n)}});var cn=Ge.extend({options:{iconSize:[12,12],html:!1,bgPos:null,className:"leaflet-div-icon"},createIcon:function(t){var i=t&&"DIV"===t.tagName?t:document.createElement("div"),e=this.options;if(i.innerHTML=!1!==e.html?e.html:"",e.bgPos){var n=w(e.bgPos);i.style.backgroundPosition=-n.x+"px "+-n.y+"px"}return this._setIconStyles(i,"icon"),i},createShadow:function(){return null}});Ge.Default=Ke;var _n=Ue.extend({options:{tileSize:256,opacity:1,updateWhenIdle:ji,updateWhenZooming:!0,updateInterval:200,zIndex:1,bounds:null,minZoom:0,maxZoom:void 0,maxNativeZoom:void 0,minNativeZoom:void 0,noWrap:!1,pane:"tilePane",className:"",keepBuffer:2},initialize:function(t){l(this,t)},onAdd:function(){this._initContainer(),this._levels={},this._tiles={},this._resetView(),this._update()},beforeAdd:function(t){t._addZoomLimit(this)},onRemove:function(t){this._removeAllTiles(),ut(this._container),t._removeZoomLimit(this),this._container=null,this._tileZoom=void 0},bringToFront:function(){return this._map&&(ct(this._container),this._setAutoZIndex(Math.max)),this},bringToBack:function(){return this._map&&(_t(this._container),this._setAutoZIndex(Math.min)),this},getContainer:function(){return this._container},setOpacity:function(t){return this.options.opacity=t,this._updateOpacity(),this},setZIndex:function(t){return this.options.zIndex=t,this._updateZIndex(),this},isLoading:function(){return this._loading},redraw:function(){return this._map&&(this._removeAllTiles(),this._update()),this},getEvents:function(){var t={viewprereset:this._invalidateAll,viewreset:this._resetView,zoom:this._resetView,moveend:this._onMoveEnd};return this.options.updateWhenIdle||(this._onMove||(this._onMove=o(this._onMoveEnd,this.options.updateInterval,this)),t.move=this._onMove),this._zoomAnimated&&(t.zoomanim=this._animateZoom),t},createTile:function(){return document.createElement("div")},getTileSize:function(){var t=this.options.tileSize;return t instanceof x?t:new x(t,t)},_updateZIndex:function(){this._container&&void 0!==this.options.zIndex&&null!==this.options.zIndex&&(this._container.style.zIndex=this.options.zIndex)},_setAutoZIndex:function(t){for(var i,e=this.getPane().children,n=-t(-1/0,1/0),o=0,s=e.length;o<s;o++)i=e[o].style.zIndex,e[o]!==this._container&&i&&(n=t(n,+i));isFinite(n)&&(this.options.zIndex=n+t(-1,1),this._updateZIndex())},_updateOpacity:function(){if(this._map&&!Li){vt(this._container,this.options.opacity);var t=+new Date,i=!1,e=!1;for(var n in this._tiles){var o=this._tiles[n];if(o.current&&o.loaded){var s=Math.min(1,(t-o.loaded)/200);vt(o.el,s),s<1?i=!0:(o.active?e=!0:this._onOpaqueTile(o),o.active=!0)}}e&&!this._noPrune&&this._pruneTiles(),i&&(g(this._fadeFrame),this._fadeFrame=f(this._updateOpacity,this))}},_onOpaqueTile:r,_initContainer:function(){this._container||(this._container=ht("div","leaflet-layer "+(this.options.className||"")),this._updateZIndex(),this.options.opacity<1&&this._updateOpacity(),this.getPane().appendChild(this._container))},_updateLevels:function(){var t=this._tileZoom,i=this.options.maxZoom;if(void 0!==t){for(var e in this._levels)this._levels[e].el.children.length||e===t?(this._levels[e].el.style.zIndex=i-Math.abs(t-e),this._onUpdateLevel(e)):(ut(this._levels[e].el),this._removeTilesAtZoom(e),this._onRemoveLevel(e),delete this._levels[e]);var n=this._levels[t],o=this._map;return n||((n=this._levels[t]={}).el=ht("div","leaflet-tile-container leaflet-zoom-animated",this._container),n.el.style.zIndex=i,n.origin=o.project(o.unproject(o.getPixelOrigin()),t).round(),n.zoom=t,this._setZoomTransform(n,o.getCenter(),o.getZoom()),n.el.offsetWidth,this._onCreateLevel(n)),this._level=n,n}},_onUpdateLevel:r,_onRemoveLevel:r,_onCreateLevel:r,_pruneTiles:function(){if(this._map){var t,i,e=this._map.getZoom();if(e>this.options.maxZoom||e<this.options.minZoom)this._removeAllTiles();else{for(t in this._tiles)(i=this._tiles[t]).retain=i.current;for(t in this._tiles)if((i=this._tiles[t]).current&&!i.active){var n=i.coords;this._retainParent(n.x,n.y,n.z,n.z-5)||this._retainChildren(n.x,n.y,n.z,n.z+2)}for(t in this._tiles)this._tiles[t].retain||this._removeTile(t)}}},_removeTilesAtZoom:function(t){for(var i in this._tiles)this._tiles[i].coords.z===t&&this._removeTile(i)},_removeAllTiles:function(){for(var t in this._tiles)this._removeTile(t)},_invalidateAll:function(){for(var t in this._levels)ut(this._levels[t].el),this._onRemoveLevel(t),delete this._levels[t];this._removeAllTiles(),this._tileZoom=void 0},_retainParent:function(t,i,e,n){var o=Math.floor(t/2),s=Math.floor(i/2),r=e-1,a=new x(+o,+s);a.z=+r;var h=this._tileCoordsToKey(a),u=this._tiles[h];return u&&u.active?(u.retain=!0,!0):(u&&u.loaded&&(u.retain=!0),r>n&&this._retainParent(o,s,r,n))},_retainChildren:function(t,i,e,n){for(var o=2*t;o<2*t+2;o++)for(var s=2*i;s<2*i+2;s++){var r=new x(o,s);r.z=e+1;var a=this._tileCoordsToKey(r),h=this._tiles[a];h&&h.active?h.retain=!0:(h&&h.loaded&&(h.retain=!0),e+1<n&&this._retainChildren(o,s,e+1,n))}},_resetView:function(t){var i=t&&(t.pinch||t.flyTo);this._setView(this._map.getCenter(),this._map.getZoom(),i,i)},_animateZoom:function(t){this._setView(t.center,t.zoom,!0,t.noUpdate)},_clampZoom:function(t){var i=this.options;return void 0!==i.minNativeZoom&&t<i.minNativeZoom?i.minNativeZoom:void 0!==i.maxNativeZoom&&i.maxNativeZoom<t?i.maxNativeZoom:t},_setView:function(t,i,e,n){var o=this._clampZoom(Math.round(i));(void 0!==this.options.maxZoom&&o>this.options.maxZoom||void 0!==this.options.minZoom&&o<this.options.minZoom)&&(o=void 0);var s=this.options.updateWhenZooming&&o!==this._tileZoom;n&&!s||(this._tileZoom=o,this._abortLoading&&this._abortLoading(),this._updateLevels(),this._resetGrid(),void 0!==o&&this._update(t),e||this._pruneTiles(),this._noPrune=!!e),this._setZoomTransforms(t,i)},_setZoomTransforms:function(t,i){for(var e in this._levels)this._setZoomTransform(this._levels[e],t,i)},_setZoomTransform:function(t,i,e){var n=this._map.getZoomScale(e,t.zoom),o=t.origin.multiplyBy(n).subtract(this._map._getNewPixelOrigin(i,e)).round();Ni?wt(t.el,o,n):Lt(t.el,o)},_resetGrid:function(){var t=this._map,i=t.options.crs,e=this._tileSize=this.getTileSize(),n=this._tileZoom,o=this._map.getPixelWorldBounds(this._tileZoom);o&&(this._globalTileRange=this._pxBoundsToTileRange(o)),this._wrapX=i.wrapLng&&!this.options.noWrap&&[Math.floor(t.project([0,i.wrapLng[0]],n).x/e.x),Math.ceil(t.project([0,i.wrapLng[1]],n).x/e.y)],this._wrapY=i.wrapLat&&!this.options.noWrap&&[Math.floor(t.project([i.wrapLat[0],0],n).y/e.x),Math.ceil(t.project([i.wrapLat[1],0],n).y/e.y)]},_onMoveEnd:function(){this._map&&!this._map._animatingZoom&&this._update()},_getTiledPixelBounds:function(t){var i=this._map,e=i._animatingZoom?Math.max(i._animateToZoom,i.getZoom()):i.getZoom(),n=i.getZoomScale(e,this._tileZoom),o=i.project(t,this._tileZoom).floor(),s=i.getSize().divideBy(2*n);return new P(o.subtract(s),o.add(s))},_update:function(t){var i=this._map;if(i){var e=this._clampZoom(i.getZoom());if(void 0===t&&(t=i.getCenter()),void 0!==this._tileZoom){var n=this._getTiledPixelBounds(t),o=this._pxBoundsToTileRange(n),s=o.getCenter(),r=[],a=this.options.keepBuffer,h=new P(o.getBottomLeft().subtract([a,-a]),o.getTopRight().add([a,-a]));if(!(isFinite(o.min.x)&&isFinite(o.min.y)&&isFinite(o.max.x)&&isFinite(o.max.y)))throw new Error("Attempted to load an infinite number of tiles");for(var u in this._tiles){var l=this._tiles[u].coords;l.z===this._tileZoom&&h.contains(new x(l.x,l.y))||(this._tiles[u].current=!1)}if(Math.abs(e-this._tileZoom)>1)this._setView(t,e);else{for(var c=o.min.y;c<=o.max.y;c++)for(var _=o.min.x;_<=o.max.x;_++){var d=new x(_,c);if(d.z=this._tileZoom,this._isValidTile(d)){var p=this._tiles[this._tileCoordsToKey(d)];p?p.current=!0:r.push(d)}}if(r.sort(function(t,i){return t.distanceTo(s)-i.distanceTo(s)}),0!==r.length){this._loading||(this._loading=!0,this.fire("loading"));var m=document.createDocumentFragment();for(_=0;_<r.length;_++)this._addTile(r[_],m);this._level.el.appendChild(m)}}}}},_isValidTile:function(t){var i=this._map.options.crs;if(!i.infinite){var e=this._globalTileRange;if(!i.wrapLng&&(t.x<e.min.x||t.x>e.max.x)||!i.wrapLat&&(t.y<e.min.y||t.y>e.max.y))return!1}if(!this.options.bounds)return!0;var n=this._tileCoordsToBounds(t);return z(this.options.bounds).overlaps(n)},_keyToBounds:function(t){return this._tileCoordsToBounds(this._keyToTileCoords(t))},_tileCoordsToNwSe:function(t){var i=this._map,e=this.getTileSize(),n=t.scaleBy(e),o=n.add(e);return[i.unproject(n,t.z),i.unproject(o,t.z)]},_tileCoordsToBounds:function(t){var i=this._tileCoordsToNwSe(t),e=new T(i[0],i[1]);return this.options.noWrap||(e=this._map.wrapLatLngBounds(e)),e},_tileCoordsToKey:function(t){return t.x+":"+t.y+":"+t.z},_keyToTileCoords:function(t){var i=t.split(":"),e=new x(+i[0],+i[1]);return e.z=+i[2],e},_removeTile:function(t){var i=this._tiles[t];i&&(Ci||i.el.setAttribute("src",ni),ut(i.el),delete this._tiles[t],this.fire("tileunload",{tile:i.el,coords:this._keyToTileCoords(t)}))},_initTile:function(t){pt(t,"leaflet-tile");var i=this.getTileSize();t.style.width=i.x+"px",t.style.height=i.y+"px",t.onselectstart=r,t.onmousemove=r,Li&&this.options.opacity<1&&vt(t,this.options.opacity),Ti&&!zi&&(t.style.WebkitBackfaceVisibility="hidden")},_addTile:function(t,i){var n=this._getTilePos(t),o=this._tileCoordsToKey(t),s=this.createTile(this._wrapCoords(t),e(this._tileReady,this,t));this._initTile(s),this.createTile.length<2&&f(e(this._tileReady,this,t,null,s)),Lt(s,n),this._tiles[o]={el:s,coords:t,current:!0},i.appendChild(s),this.fire("tileloadstart",{tile:s,coords:t})},_tileReady:function(t,i,n){if(this._map){i&&this.fire("tileerror",{error:i,tile:n,coords:t});var o=this._tileCoordsToKey(t);(n=this._tiles[o])&&(n.loaded=+new Date,this._map._fadeAnimated?(vt(n.el,0),g(this._fadeFrame),this._fadeFrame=f(this._updateOpacity,this)):(n.active=!0,this._pruneTiles()),i||(pt(n.el,"leaflet-tile-loaded"),this.fire("tileload",{tile:n.el,coords:t})),this._noTilesToLoad()&&(this._loading=!1,this.fire("load"),Li||!this._map._fadeAnimated?f(this._pruneTiles,this):setTimeout(e(this._pruneTiles,this),250)))}},_getTilePos:function(t){return t.scaleBy(this.getTileSize()).subtract(this._level.origin)},_wrapCoords:function(t){var i=new x(this._wrapX?s(t.x,this._wrapX):t.x,this._wrapY?s(t.y,this._wrapY):t.y);return i.z=t.z,i},_pxBoundsToTileRange:function(t){var i=this.getTileSize();return new P(t.min.unscaleBy(i).floor(),t.max.unscaleBy(i).ceil().subtract([1,1]))},_noTilesToLoad:function(){for(var t in this._tiles)if(!this._tiles[t].loaded)return!1;return!0}}),dn=_n.extend({options:{minZoom:0,maxZoom:18,subdomains:"abc",errorTileUrl:"",zoomOffset:0,tms:!1,zoomReverse:!1,detectRetina:!1,crossOrigin:!1},initialize:function(t,i){this._url=t,(i=l(this,i)).detectRetina&&Ki&&i.maxZoom>0&&(i.tileSize=Math.floor(i.tileSize/2),i.zoomReverse?(i.zoomOffset--,i.minZoom++):(i.zoomOffset++,i.maxZoom--),i.minZoom=Math.max(0,i.minZoom)),"string"==typeof i.subdomains&&(i.subdomains=i.subdomains.split("")),Ti||this.on("tileunload",this._onTileRemove)},setUrl:function(t,i){return this._url=t,i||this.redraw(),this},createTile:function(t,i){var n=document.createElement("img");return V(n,"load",e(this._tileOnLoad,this,i,n)),V(n,"error",e(this._tileOnError,this,i,n)),this.options.crossOrigin&&(n.crossOrigin=""),n.alt="",n.setAttribute("role","presentation"),n.src=this.getTileUrl(t),n},getTileUrl:function(t){var e={r:Ki?"@2x":"",s:this._getSubdomain(t),x:t.x,y:t.y,z:this._getZoomForUrl()};if(this._map&&!this._map.options.crs.infinite){var n=this._globalTileRange.max.y-t.y;this.options.tms&&(e.y=n),e["-y"]=n}return _(this._url,i(e,this.options))},_tileOnLoad:function(t,i){Li?setTimeout(e(t,this,null,i),0):t(null,i)},_tileOnError:function(t,i,e){var n=this.options.errorTileUrl;n&&i.getAttribute("src")!==n&&(i.src=n),t(e,i)},_onTileRemove:function(t){t.tile.onload=null},_getZoomForUrl:function(){var t=this._tileZoom,i=this.options.maxZoom,e=this.options.zoomReverse,n=this.options.zoomOffset;return e&&(t=i-t),t+n},_getSubdomain:function(t){var i=Math.abs(t.x+t.y)%this.options.subdomains.length;return this.options.subdomains[i]},_abortLoading:function(){var t,i;for(t in this._tiles)this._tiles[t].coords.z!==this._tileZoom&&((i=this._tiles[t].el).onload=r,i.onerror=r,i.complete||(i.src=ni,ut(i),delete this._tiles[t]))}}),pn=dn.extend({defaultWmsParams:{service:"WMS",request:"GetMap",layers:"",styles:"",format:"image/jpeg",transparent:!1,version:"1.1.1"},options:{crs:null,uppercase:!1},initialize:function(t,e){this._url=t;var n=i({},this.defaultWmsParams);for(var o in e)o in this.options||(n[o]=e[o]);var s=(e=l(this,e)).detectRetina&&Ki?2:1,r=this.getTileSize();n.width=r.x*s,n.height=r.y*s,this.wmsParams=n},onAdd:function(t){this._crs=this.options.crs||t.options.crs,this._wmsVersion=parseFloat(this.wmsParams.version);var i=this._wmsVersion>=1.3?"crs":"srs";this.wmsParams[i]=this._crs.code,dn.prototype.onAdd.call(this,t)},getTileUrl:function(t){var i=this._tileCoordsToNwSe(t),e=this._crs,n=b(e.project(i[0]),e.project(i[1])),o=n.min,s=n.max,r=(this._wmsVersion>=1.3&&this._crs===He?[o.y,o.x,s.y,s.x]:[o.x,o.y,s.x,s.y]).join(","),a=L.TileLayer.prototype.getTileUrl.call(this,t);return a+c(this.wmsParams,a,this.options.uppercase)+(this.options.uppercase?"&BBOX=":"&bbox=")+r},setParams:function(t,e){return i(this.wmsParams,t),e||this.redraw(),this}});dn.WMS=pn,Yt.wms=function(t,i){return new pn(t,i)};var mn=Ue.extend({options:{padding:.1,tolerance:0},initialize:function(t){l(this,t),n(this),this._layers=this._layers||{}},onAdd:function(){this._container||(this._initContainer(),this._zoomAnimated&&pt(this._container,"leaflet-zoom-animated")),this.getPane().appendChild(this._container),this._update(),this.on("update",this._updatePaths,this)},onRemove:function(){this.off("update",this._updatePaths,this),this._destroyContainer()},getEvents:function(){var t={viewreset:this._reset,zoom:this._onZoom,moveend:this._update,zoomend:this._onZoomEnd};return this._zoomAnimated&&(t.zoomanim=this._onAnimZoom),t},_onAnimZoom:function(t){this._updateTransform(t.center,t.zoom)},_onZoom:function(){this._updateTransform(this._map.getCenter(),this._map.getZoom())},_updateTransform:function(t,i){var e=this._map.getZoomScale(i,this._zoom),n=Pt(this._container),o=this._map.getSize().multiplyBy(.5+this.options.padding),s=this._map.project(this._center,i),r=this._map.project(t,i).subtract(s),a=o.multiplyBy(-e).add(n).add(o).subtract(r);Ni?wt(this._container,a,e):Lt(this._container,a)},_reset:function(){this._update(),this._updateTransform(this._center,this._zoom);for(var t in this._layers)this._layers[t]._reset()},_onZoomEnd:function(){for(var t in this._layers)this._layers[t]._project()},_updatePaths:function(){for(var t in this._layers)this._layers[t]._update()},_update:function(){var t=this.options.padding,i=this._map.getSize(),e=this._map.containerPointToLayerPoint(i.multiplyBy(-t)).round();this._bounds=new P(e,e.add(i.multiplyBy(1+2*t)).round()),this._center=this._map.getCenter(),this._zoom=this._map.getZoom()}}),fn=mn.extend({getEvents:function(){var t=mn.prototype.getEvents.call(this);return t.viewprereset=this._onViewPreReset,t},_onViewPreReset:function(){this._postponeUpdatePaths=!0},onAdd:function(){mn.prototype.onAdd.call(this),this._draw()},_initContainer:function(){var t=this._container=document.createElement("canvas");V(t,"mousemove",o(this._onMouseMove,32,this),this),V(t,"click dblclick mousedown mouseup contextmenu",this._onClick,this),V(t,"mouseout",this._handleMouseOut,this),this._ctx=t.getContext("2d")},_destroyContainer:function(){delete this._ctx,ut(this._container),q(this._container),delete this._container},_updatePaths:function(){if(!this._postponeUpdatePaths){this._redrawBounds=null;for(var t in this._layers)this._layers[t]._update();this._redraw()}},_update:function(){if(!this._map._animatingZoom||!this._bounds){this._drawnLayers={},mn.prototype._update.call(this);var t=this._bounds,i=this._container,e=t.getSize(),n=Ki?2:1;Lt(i,t.min),i.width=n*e.x,i.height=n*e.y,i.style.width=e.x+"px",i.style.height=e.y+"px",Ki&&this._ctx.scale(2,2),this._ctx.translate(-t.min.x,-t.min.y),this.fire("update")}},_reset:function(){mn.prototype._reset.call(this),this._postponeUpdatePaths&&(this._postponeUpdatePaths=!1,this._updatePaths())},_initPath:function(t){this._updateDashArray(t),this._layers[n(t)]=t;var i=t._order={layer:t,prev:this._drawLast,next:null};this._drawLast&&(this._drawLast.next=i),this._drawLast=i,this._drawFirst=this._drawFirst||this._drawLast},_addPath:function(t){this._requestRedraw(t)},_removePath:function(t){var i=t._order,e=i.next,n=i.prev;e?e.prev=n:this._drawLast=n,n?n.next=e:this._drawFirst=e,delete t._order,delete this._layers[L.stamp(t)],this._requestRedraw(t)},_updatePath:function(t){this._extendRedrawBounds(t),t._project(),t._update(),this._requestRedraw(t)},_updateStyle:function(t){this._updateDashArray(t),this._requestRedraw(t)},_updateDashArray:function(t){if(t.options.dashArray){var i,e=t.options.dashArray.split(","),n=[];for(i=0;i<e.length;i++)n.push(Number(e[i]));t.options._dashArray=n}},_requestRedraw:function(t){this._map&&(this._extendRedrawBounds(t),this._redrawRequest=this._redrawRequest||f(this._redraw,this))},_extendRedrawBounds:function(t){if(t._pxBounds){var i=(t.options.weight||0)+1;this._redrawBounds=this._redrawBounds||new P,this._redrawBounds.extend(t._pxBounds.min.subtract([i,i])),this._redrawBounds.extend(t._pxBounds.max.add([i,i]))}},_redraw:function(){this._redrawRequest=null,this._redrawBounds&&(this._redrawBounds.min._floor(),this._redrawBounds.max._ceil()),this._clear(),this._draw(),this._redrawBounds=null},_clear:function(){var t=this._redrawBounds;if(t){var i=t.getSize();this._ctx.clearRect(t.min.x,t.min.y,i.x,i.y)}else this._ctx.clearRect(0,0,this._container.width,this._container.height)},_draw:function(){var t,i=this._redrawBounds;if(this._ctx.save(),i){var e=i.getSize();this._ctx.beginPath(),this._ctx.rect(i.min.x,i.min.y,e.x,e.y),this._ctx.clip()}this._drawing=!0;for(var n=this._drawFirst;n;n=n.next)t=n.layer,(!i||t._pxBounds&&t._pxBounds.intersects(i))&&t._updatePath();this._drawing=!1,this._ctx.restore()},_updatePoly:function(t,i){if(this._drawing){var e,n,o,s,r=t._parts,a=r.length,h=this._ctx;if(a){for(this._drawnLayers[t._leaflet_id]=t,h.beginPath(),e=0;e<a;e++){for(n=0,o=r[e].length;n<o;n++)s=r[e][n],h[n?"lineTo":"moveTo"](s.x,s.y);i&&h.closePath()}this._fillStroke(h,t)}}},_updateCircle:function(t){if(this._drawing&&!t._empty()){var i=t._point,e=this._ctx,n=Math.max(Math.round(t._radius),1),o=(Math.max(Math.round(t._radiusY),1)||n)/n;this._drawnLayers[t._leaflet_id]=t,1!==o&&(e.save(),e.scale(1,o)),e.beginPath(),e.arc(i.x,i.y/o,n,0,2*Math.PI,!1),1!==o&&e.restore(),this._fillStroke(e,t)}},_fillStroke:function(t,i){var e=i.options;e.fill&&(t.globalAlpha=e.fillOpacity,t.fillStyle=e.fillColor||e.color,t.fill(e.fillRule||"evenodd")),e.stroke&&0!==e.weight&&(t.setLineDash&&t.setLineDash(i.options&&i.options._dashArray||[]),t.globalAlpha=e.opacity,t.lineWidth=e.weight,t.strokeStyle=e.color,t.lineCap=e.lineCap,t.lineJoin=e.lineJoin,t.stroke())},_onClick:function(t){for(var i,e,n=this._map.mouseEventToLayerPoint(t),o=this._drawFirst;o;o=o.next)(i=o.layer).options.interactive&&i._containsPoint(n)&&!this._map._draggableMoved(i)&&(e=i);e&&(et(t),this._fireEvent([e],t))},_onMouseMove:function(t){if(this._map&&!this._map.dragging.moving()&&!this._map._animatingZoom){var i=this._map.mouseEventToLayerPoint(t);this._handleMouseHover(t,i)}},_handleMouseOut:function(t){var i=this._hoveredLayer;i&&(mt(this._container,"leaflet-interactive"),this._fireEvent([i],t,"mouseout"),this._hoveredLayer=null)},_handleMouseHover:function(t,i){for(var e,n,o=this._drawFirst;o;o=o.next)(e=o.layer).options.interactive&&e._containsPoint(i)&&(n=e);n!==this._hoveredLayer&&(this._handleMouseOut(t),n&&(pt(this._container,"leaflet-interactive"),this._fireEvent([n],t,"mouseover"),this._hoveredLayer=n)),this._hoveredLayer&&this._fireEvent([this._hoveredLayer],t)},_fireEvent:function(t,i,e){this._map._fireDOMEvent(i,e||i.type,t)},_bringToFront:function(t){var i=t._order,e=i.next,n=i.prev;e&&(e.prev=n,n?n.next=e:e&&(this._drawFirst=e),i.prev=this._drawLast,this._drawLast.next=i,i.next=null,this._drawLast=i,this._requestRedraw(t))},_bringToBack:function(t){var i=t._order,e=i.next,n=i.prev;n&&(n.next=e,e?e.prev=n:n&&(this._drawLast=n),i.prev=null,i.next=this._drawFirst,this._drawFirst.prev=i,this._drawFirst=i,this._requestRedraw(t))}}),gn=function(){try{return document.namespaces.add("lvml","urn:schemas-microsoft-com:vml"),function(t){return document.createElement("<lvml:"+t+' class="lvml">')}}catch(t){return function(t){return document.createElement("<"+t+' xmlns="urn:schemas-microsoft.com:vml" class="lvml">')}}}(),vn={_initContainer:function(){this._container=ht("div","leaflet-vml-container")},_update:function(){this._map._animatingZoom||(mn.prototype._update.call(this),this.fire("update"))},_initPath:function(t){var i=t._container=gn("shape");pt(i,"leaflet-vml-shape "+(this.options.className||"")),i.coordsize="1 1",t._path=gn("path"),i.appendChild(t._path),this._updateStyle(t),this._layers[n(t)]=t},_addPath:function(t){var i=t._container;this._container.appendChild(i),t.options.interactive&&t.addInteractiveTarget(i)},_removePath:function(t){var i=t._container;ut(i),t.removeInteractiveTarget(i),delete this._layers[n(t)]},_updateStyle:function(t){var i=t._stroke,e=t._fill,n=t.options,o=t._container;o.stroked=!!n.stroke,o.filled=!!n.fill,n.stroke?(i||(i=t._stroke=gn("stroke")),o.appendChild(i),i.weight=n.weight+"px",i.color=n.color,i.opacity=n.opacity,n.dashArray?i.dashStyle=ei(n.dashArray)?n.dashArray.join(" "):n.dashArray.replace(/( *, *)/g," "):i.dashStyle="",i.endcap=n.lineCap.replace("butt","flat"),i.joinstyle=n.lineJoin):i&&(o.removeChild(i),t._stroke=null),n.fill?(e||(e=t._fill=gn("fill")),o.appendChild(e),e.color=n.fillColor||n.color,e.opacity=n.fillOpacity):e&&(o.removeChild(e),t._fill=null)},_updateCircle:function(t){var i=t._point.round(),e=Math.round(t._radius),n=Math.round(t._radiusY||e);this._setPath(t,t._empty()?"M0 0":"AL "+i.x+","+i.y+" "+e+","+n+" 0,23592600")},_setPath:function(t,i){t._path.v=i},_bringToFront:function(t){ct(t._container)},_bringToBack:function(t){_t(t._container)}},yn=Ji?gn:E,xn=mn.extend({getEvents:function(){var t=mn.prototype.getEvents.call(this);return t.zoomstart=this._onZoomStart,t},_initContainer:function(){this._container=yn("svg"),this._container.setAttribute("pointer-events","none"),this._rootGroup=yn("g"),this._container.appendChild(this._rootGroup)},_destroyContainer:function(){ut(this._container),q(this._container),delete this._container,delete this._rootGroup,delete this._svgSize},_onZoomStart:function(){this._update()},_update:function(){if(!this._map._animatingZoom||!this._bounds){mn.prototype._update.call(this);var t=this._bounds,i=t.getSize(),e=this._container;this._svgSize&&this._svgSize.equals(i)||(this._svgSize=i,e.setAttribute("width",i.x),e.setAttribute("height",i.y)),Lt(e,t.min),e.setAttribute("viewBox",[t.min.x,t.min.y,i.x,i.y].join(" ")),this.fire("update")}},_initPath:function(t){var i=t._path=yn("path");t.options.className&&pt(i,t.options.className),t.options.interactive&&pt(i,"leaflet-interactive"),this._updateStyle(t),this._layers[n(t)]=t},_addPath:function(t){this._rootGroup||this._initContainer(),this._rootGroup.appendChild(t._path),t.addInteractiveTarget(t._path)},_removePath:function(t){ut(t._path),t.removeInteractiveTarget(t._path),delete this._layers[n(t)]},_updatePath:function(t){t._project(),t._update()},_updateStyle:function(t){var i=t._path,e=t.options;i&&(e.stroke?(i.setAttribute("stroke",e.color),i.setAttribute("stroke-opacity",e.opacity),i.setAttribute("stroke-width",e.weight),i.setAttribute("stroke-linecap",e.lineCap),i.setAttribute("stroke-linejoin",e.lineJoin),e.dashArray?i.setAttribute("stroke-dasharray",e.dashArray):i.removeAttribute("stroke-dasharray"),e.dashOffset?i.setAttribute("stroke-dashoffset",e.dashOffset):i.removeAttribute("stroke-dashoffset")):i.setAttribute("stroke","none"),e.fill?(i.setAttribute("fill",e.fillColor||e.color),i.setAttribute("fill-opacity",e.fillOpacity),i.setAttribute("fill-rule",e.fillRule||"evenodd")):i.setAttribute("fill","none"))},_updatePoly:function(t,i){this._setPath(t,k(t._parts,i))},_updateCircle:function(t){var i=t._point,e=Math.max(Math.round(t._radius),1),n="a"+e+","+(Math.max(Math.round(t._radiusY),1)||e)+" 0 1,0 ",o=t._empty()?"M0 0":"M"+(i.x-e)+","+i.y+n+2*e+",0 "+n+2*-e+",0 ";this._setPath(t,o)},_setPath:function(t,i){t._path.setAttribute("d",i)},_bringToFront:function(t){ct(t._path)},_bringToBack:function(t){_t(t._path)}});Ji&&xn.include(vn),Le.include({getRenderer:function(t){var i=t.options.renderer||this._getPaneRenderer(t.options.pane)||this.options.renderer||this._renderer;return i||(i=this._renderer=this.options.preferCanvas&&Xt()||Jt()),this.hasLayer(i)||this.addLayer(i),i},_getPaneRenderer:function(t){if("overlayPane"===t||void 0===t)return!1;var i=this._paneRenderers[t];return void 0===i&&(i=xn&&Jt({pane:t})||fn&&Xt({pane:t}),this._paneRenderers[t]=i),i}});var wn=en.extend({initialize:function(t,i){en.prototype.initialize.call(this,this._boundsToLatLngs(t),i)},setBounds:function(t){return this.setLatLngs(this._boundsToLatLngs(t))},_boundsToLatLngs:function(t){return t=z(t),[t.getSouthWest(),t.getNorthWest(),t.getNorthEast(),t.getSouthEast()]}});xn.create=yn,xn.pointsToPath=k,nn.geometryToLayer=Wt,nn.coordsToLatLng=Ht,nn.coordsToLatLngs=Ft,nn.latLngToCoords=Ut,nn.latLngsToCoords=Vt,nn.getFeature=qt,nn.asFeature=Gt,Le.mergeOptions({boxZoom:!0});var Ln=Ze.extend({initialize:function(t){this._map=t,this._container=t._container,this._pane=t._panes.overlayPane,this._resetStateTimeout=0,t.on("unload",this._destroy,this)},addHooks:function(){V(this._container,"mousedown",this._onMouseDown,this)},removeHooks:function(){q(this._container,"mousedown",this._onMouseDown,this)},moved:function(){return this._moved},_destroy:function(){ut(this._pane),delete this._pane},_resetState:function(){this._resetStateTimeout=0,this._moved=!1},_clearDeferredResetState:function(){0!==this._resetStateTimeout&&(clearTimeout(this._resetStateTimeout),this._resetStateTimeout=0)},_onMouseDown:function(t){if(!t.shiftKey||1!==t.which&&1!==t.button)return!1;this._clearDeferredResetState(),this._resetState(),mi(),bt(),this._startPoint=this._map.mouseEventToContainerPoint(t),V(document,{contextmenu:Q,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseMove:function(t){this._moved||(this._moved=!0,this._box=ht("div","leaflet-zoom-box",this._container),pt(this._container,"leaflet-crosshair"),this._map.fire("boxzoomstart")),this._point=this._map.mouseEventToContainerPoint(t);var i=new P(this._point,this._startPoint),e=i.getSize();Lt(this._box,i.min),this._box.style.width=e.x+"px",this._box.style.height=e.y+"px"},_finish:function(){this._moved&&(ut(this._box),mt(this._container,"leaflet-crosshair")),fi(),Tt(),q(document,{contextmenu:Q,mousemove:this._onMouseMove,mouseup:this._onMouseUp,keydown:this._onKeyDown},this)},_onMouseUp:function(t){if((1===t.which||1===t.button)&&(this._finish(),this._moved)){this._clearDeferredResetState(),this._resetStateTimeout=setTimeout(e(this._resetState,this),0);var i=new T(this._map.containerPointToLatLng(this._startPoint),this._map.containerPointToLatLng(this._point));this._map.fitBounds(i).fire("boxzoomend",{boxZoomBounds:i})}},_onKeyDown:function(t){27===t.keyCode&&this._finish()}});Le.addInitHook("addHandler","boxZoom",Ln),Le.mergeOptions({doubleClickZoom:!0});var Pn=Ze.extend({addHooks:function(){this._map.on("dblclick",this._onDoubleClick,this)},removeHooks:function(){this._map.off("dblclick",this._onDoubleClick,this)},_onDoubleClick:function(t){var i=this._map,e=i.getZoom(),n=i.options.zoomDelta,o=t.originalEvent.shiftKey?e-n:e+n;"center"===i.options.doubleClickZoom?i.setZoom(o):i.setZoomAround(t.containerPoint,o)}});Le.addInitHook("addHandler","doubleClickZoom",Pn),Le.mergeOptions({dragging:!0,inertia:!zi,inertiaDeceleration:3400,inertiaMaxSpeed:1/0,easeLinearity:.2,worldCopyJump:!1,maxBoundsViscosity:0});var bn=Ze.extend({addHooks:function(){if(!this._draggable){var t=this._map;this._draggable=new Be(t._mapPane,t._container),this._draggable.on({dragstart:this._onDragStart,drag:this._onDrag,dragend:this._onDragEnd},this),this._draggable.on("predrag",this._onPreDragLimit,this),t.options.worldCopyJump&&(this._draggable.on("predrag",this._onPreDragWrap,this),t.on("zoomend",this._onZoomEnd,this),t.whenReady(this._onZoomEnd,this))}pt(this._map._container,"leaflet-grab leaflet-touch-drag"),this._draggable.enable(),this._positions=[],this._times=[]},removeHooks:function(){mt(this._map._container,"leaflet-grab"),mt(this._map._container,"leaflet-touch-drag"),this._draggable.disable()},moved:function(){return this._draggable&&this._draggable._moved},moving:function(){return this._draggable&&this._draggable._moving},_onDragStart:function(){var t=this._map;if(t._stop(),this._map.options.maxBounds&&this._map.options.maxBoundsViscosity){var i=z(this._map.options.maxBounds);this._offsetLimit=b(this._map.latLngToContainerPoint(i.getNorthWest()).multiplyBy(-1),this._map.latLngToContainerPoint(i.getSouthEast()).multiplyBy(-1).add(this._map.getSize())),this._viscosity=Math.min(1,Math.max(0,this._map.options.maxBoundsViscosity))}else this._offsetLimit=null;t.fire("movestart").fire("dragstart"),t.options.inertia&&(this._positions=[],this._times=[])},_onDrag:function(t){if(this._map.options.inertia){var i=this._lastTime=+new Date,e=this._lastPos=this._draggable._absPos||this._draggable._newPos;this._positions.push(e),this._times.push(i),this._prunePositions(i)}this._map.fire("move",t).fire("drag",t)},_prunePositions:function(t){for(;this._positions.length>1&&t-this._times[0]>50;)this._positions.shift(),this._times.shift()},_onZoomEnd:function(){var t=this._map.getSize().divideBy(2),i=this._map.latLngToLayerPoint([0,0]);this._initialWorldOffset=i.subtract(t).x,this._worldWidth=this._map.getPixelWorldBounds().getSize().x},_viscousLimit:function(t,i){return t-(t-i)*this._viscosity},_onPreDragLimit:function(){if(this._viscosity&&this._offsetLimit){var t=this._draggable._newPos.subtract(this._draggable._startPos),i=this._offsetLimit;t.x<i.min.x&&(t.x=this._viscousLimit(t.x,i.min.x)),t.y<i.min.y&&(t.y=this._viscousLimit(t.y,i.min.y)),t.x>i.max.x&&(t.x=this._viscousLimit(t.x,i.max.x)),t.y>i.max.y&&(t.y=this._viscousLimit(t.y,i.max.y)),this._draggable._newPos=this._draggable._startPos.add(t)}},_onPreDragWrap:function(){var t=this._worldWidth,i=Math.round(t/2),e=this._initialWorldOffset,n=this._draggable._newPos.x,o=(n-i+e)%t+i-e,s=(n+i+e)%t-i-e,r=Math.abs(o+e)<Math.abs(s+e)?o:s;this._draggable._absPos=this._draggable._newPos.clone(),this._draggable._newPos.x=r},_onDragEnd:function(t){var i=this._map,e=i.options,n=!e.inertia||this._times.length<2;if(i.fire("dragend",t),n)i.fire("moveend");else{this._prunePositions(+new Date);var o=this._lastPos.subtract(this._positions[0]),s=(this._lastTime-this._times[0])/1e3,r=e.easeLinearity,a=o.multiplyBy(r/s),h=a.distanceTo([0,0]),u=Math.min(e.inertiaMaxSpeed,h),l=a.multiplyBy(u/h),c=u/(e.inertiaDeceleration*r),_=l.multiplyBy(-c/2).round();_.x||_.y?(_=i._limitOffset(_,i.options.maxBounds),f(function(){i.panBy(_,{duration:c,easeLinearity:r,noMoveStart:!0,animate:!0})})):i.fire("moveend")}}});Le.addInitHook("addHandler","dragging",bn),Le.mergeOptions({keyboard:!0,keyboardPanDelta:80});var Tn=Ze.extend({keyCodes:{left:[37],right:[39],down:[40],up:[38],zoomIn:[187,107,61,171],zoomOut:[189,109,54,173]},initialize:function(t){this._map=t,this._setPanDelta(t.options.keyboardPanDelta),this._setZoomDelta(t.options.zoomDelta)},addHooks:function(){var t=this._map._container;t.tabIndex<=0&&(t.tabIndex="0"),V(t,{focus:this._onFocus,blur:this._onBlur,mousedown:this._onMouseDown},this),this._map.on({focus:this._addHooks,blur:this._removeHooks},this)},removeHooks:function(){this._removeHooks(),q(this._map._container,{focus:this._onFocus,blur:this._onBlur,mousedown:this._onMouseDown},this),this._map.off({focus:this._addHooks,blur:this._removeHooks},this)},_onMouseDown:function(){if(!this._focused){var t=document.body,i=document.documentElement,e=t.scrollTop||i.scrollTop,n=t.scrollLeft||i.scrollLeft;this._map._container.focus(),window.scrollTo(n,e)}},_onFocus:function(){this._focused=!0,this._map.fire("focus")},_onBlur:function(){this._focused=!1,this._map.fire("blur")},_setPanDelta:function(t){var i,e,n=this._panKeys={},o=this.keyCodes;for(i=0,e=o.left.length;i<e;i++)n[o.left[i]]=[-1*t,0];for(i=0,e=o.right.length;i<e;i++)n[o.right[i]]=[t,0];for(i=0,e=o.down.length;i<e;i++)n[o.down[i]]=[0,t];for(i=0,e=o.up.length;i<e;i++)n[o.up[i]]=[0,-1*t]},_setZoomDelta:function(t){var i,e,n=this._zoomKeys={},o=this.keyCodes;for(i=0,e=o.zoomIn.length;i<e;i++)n[o.zoomIn[i]]=t;for(i=0,e=o.zoomOut.length;i<e;i++)n[o.zoomOut[i]]=-t},_addHooks:function(){V(document,"keydown",this._onKeyDown,this)},_removeHooks:function(){q(document,"keydown",this._onKeyDown,this)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var i,e=t.keyCode,n=this._map;if(e in this._panKeys){if(n._panAnim&&n._panAnim._inProgress)return;i=this._panKeys[e],t.shiftKey&&(i=w(i).multiplyBy(3)),n.panBy(i),n.options.maxBounds&&n.panInsideBounds(n.options.maxBounds)}else if(e in this._zoomKeys)n.setZoom(n.getZoom()+(t.shiftKey?3:1)*this._zoomKeys[e]);else{if(27!==e||!n._popup||!n._popup.options.closeOnEscapeKey)return;n.closePopup()}Q(t)}}});Le.addInitHook("addHandler","keyboard",Tn),Le.mergeOptions({scrollWheelZoom:!0,wheelDebounceTime:40,wheelPxPerZoomLevel:60});var zn=Ze.extend({addHooks:function(){V(this._map._container,"mousewheel",this._onWheelScroll,this),this._delta=0},removeHooks:function(){q(this._map._container,"mousewheel",this._onWheelScroll,this)},_onWheelScroll:function(t){var i=it(t),n=this._map.options.wheelDebounceTime;this._delta+=i,this._lastMousePos=this._map.mouseEventToContainerPoint(t),this._startTime||(this._startTime=+new Date);var o=Math.max(n-(+new Date-this._startTime),0);clearTimeout(this._timer),this._timer=setTimeout(e(this._performZoom,this),o),Q(t)},_performZoom:function(){var t=this._map,i=t.getZoom(),e=this._map.options.zoomSnap||0;t._stop();var n=this._delta/(4*this._map.options.wheelPxPerZoomLevel),o=4*Math.log(2/(1+Math.exp(-Math.abs(n))))/Math.LN2,s=e?Math.ceil(o/e)*e:o,r=t._limitZoom(i+(this._delta>0?s:-s))-i;this._delta=0,this._startTime=null,r&&("center"===t.options.scrollWheelZoom?t.setZoom(i+r):t.setZoomAround(this._lastMousePos,i+r))}});Le.addInitHook("addHandler","scrollWheelZoom",zn),Le.mergeOptions({tap:!0,tapTolerance:15});var Mn=Ze.extend({addHooks:function(){V(this._map._container,"touchstart",this._onDown,this)},removeHooks:function(){q(this._map._container,"touchstart",this._onDown,this)},_onDown:function(t){if(t.touches){if($(t),this._fireClick=!0,t.touches.length>1)return this._fireClick=!1,void clearTimeout(this._holdTimeout);var i=t.touches[0],n=i.target;this._startPos=this._newPos=new x(i.clientX,i.clientY),n.tagName&&"a"===n.tagName.toLowerCase()&&pt(n,"leaflet-active"),this._holdTimeout=setTimeout(e(function(){this._isTapValid()&&(this._fireClick=!1,this._onUp(),this._simulateEvent("contextmenu",i))},this),1e3),this._simulateEvent("mousedown",i),V(document,{touchmove:this._onMove,touchend:this._onUp},this)}},_onUp:function(t){if(clearTimeout(this._holdTimeout),q(document,{touchmove:this._onMove,touchend:this._onUp},this),this._fireClick&&t&&t.changedTouches){var i=t.changedTouches[0],e=i.target;e&&e.tagName&&"a"===e.tagName.toLowerCase()&&mt(e,"leaflet-active"),this._simulateEvent("mouseup",i),this._isTapValid()&&this._simulateEvent("click",i)}},_isTapValid:function(){return this._newPos.distanceTo(this._startPos)<=this._map.options.tapTolerance},_onMove:function(t){var i=t.touches[0];this._newPos=new x(i.clientX,i.clientY),this._simulateEvent("mousemove",i)},_simulateEvent:function(t,i){var 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c=.9996*s*((h=Math.cos(l)*(M-e))+(1-i+a)*h*h*h/6+(5-18*i+i*i+72*a-.39089081163157013)*h*h*h*h*h/120)+5e5,u=.9996*(6378137*(.9983242984503243*l-.002514607064228144*Math.sin(2*l)+2639046602129982e-21*Math.sin(4*l)-3.418046101696858e-9*Math.sin(6*l))+s*Math.tan(l)*(h*h/2+(5-i+9*a+4*a*a)*h*h*h*h/24+(61-58*i+i*i+600*a-2.2240339282485886)*h*h*h*h*h*h/720));return r<0&&(u+=1e7),{northing:Math.round(u),easting:Math.round(c),zoneNumber:n,zoneLetter:function(t){var s="Z";return t<=84&&72<=t?s="X":t<72&&64<=t?s="W":t<64&&56<=t?s="V":t<56&&48<=t?s="U":t<48&&40<=t?s="T":t<40&&32<=t?s="S":t<32&&24<=t?s="R":t<24&&16<=t?s="Q":t<16&&8<=t?s="P":t<8&&0<=t?s="N":t<0&&-8<=t?s="M":t<-8&&-16<=t?s="L":t<-16&&-24<=t?s="K":t<-24&&-32<=t?s="J":t<-32&&-40<=t?s="H":t<-40&&-48<=t?s="G":t<-48&&-56<=t?s="F":t<-56&&-64<=t?s="E":t<-64&&-72<=t?s="D":t<-72&&-80<=t&&(s="C"),s}(r)}}({lat:t[1],lon:t[0]}),a=s,h="00000"+i.easting,e="00000"+i.northing,i.zoneNumber+i.zoneLetter+function(t,s,i){var a=b(i);return function(t,s,i){var a=i-1,h=Pt.charCodeAt(a),e=St.charCodeAt(a),n=h+t-1,r=e+s,o=!1;return It<n&&(n=n-It+Nt-1,o=!0),(n===kt||h<kt&&kt<n||(kt<n||h<kt)&&o)&&n++,(n===Et||h<Et&&Et<n||(Et<n||h<Et)&&o)&&++n===kt&&n++,It<n&&(n=n-It+Nt-1),o=qt<r&&(r=r-qt+Nt-1,!0),(r===kt||e<kt&&kt<r||(kt<r||e<kt)&&o)&&r++,(r===Et||e<Et&&Et<r||(Et<r||e<Et)&&o)&&++r===kt&&r++,qt<r&&(r=r-qt+Nt-1),String.fromCharCode(n)+String.fromCharCode(r)}(Math.floor(t/1e5),Math.floor(s/1e5)%20,a)}(i.easting,i.northing,i.zoneNumber)+h.substr(h.length-5,a)+e.substr(e.length-5,a);var i,a,h,e}function y(t){var s=g(v(t.toUpperCase()));return s.lat&&s.lon?[s.lon,s.lat]:[(s.left+s.right)/2,(s.top+s.bottom)/2]}function _(t){return t*(Math.PI/180)}function x(t){return t/Math.PI*180}function g(t){var s=t.northing,i=t.easting,a=t.zoneLetter,h=t.zoneNumber;if(h<0||60<h)return null;var e,n,r,o,l,M,c,u,f=(1-Math.sqrt(.99330562))/(1+Math.sqrt(.99330562)),m=i-5e5,p=s;a<"N"&&(p-=1e7),M=6*(h-1)-180+3,u=(c=p/.9996/6367449.145945056)+(3*f/2-27*f*f*f/32)*Math.sin(2*c)+(21*f*f/16-55*f*f*f*f/32)*Math.sin(4*c)+151*f*f*f/96*Math.sin(6*c),e=6378137/Math.sqrt(1-.00669438*Math.sin(u)*Math.sin(u)),n=Math.tan(u)*Math.tan(u),r=.006739496752268451*Math.cos(u)*Math.cos(u),o=6335439.32722994/Math.pow(1-.00669438*Math.sin(u)*Math.sin(u),1.5),l=m/(.9996*e);var d,y=x(y=u-e*Math.tan(u)/o*(l*l/2-(5+3*n+10*r-4*r*r-.06065547077041606)*l*l*l*l/24+(61+90*n+298*r+45*n*n-1.6983531815716497-3*r*r)*l*l*l*l*l*l/720)),_=M+x(_=(l-(1+2*n+r)*l*l*l/6+(5-2*r+28*n-3*r*r+.05391597401814761+24*n*n)*l*l*l*l*l/120)/Math.cos(u));return t.accuracy?{top:(d=g({northing:t.northing+t.accuracy,easting:t.easting+t.accuracy,zoneLetter:t.zoneLetter,zoneNumber:t.zoneNumber})).lat,right:d.lon,bottom:y,left:_}:{lat:y,lon:_}}function b(t){var s=t%Ct;return 0===s&&(s=Ct),s}function v(t){if(t&&0===t.length)throw"MGRSPoint 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Mercator","etmerc"]},as={init:function(){var t=function(t,s){if(void 0===t){if((t=Math.floor(30*(nt(s)+Math.PI)/Math.PI)+1)<0)return 0;if(60<t)return 60}return t}(this.zone,this.long0);if(void 0===t)throw new Error("unknown utm zone");this.lat0=0,this.long0=(6*Math.abs(t)-183)*N,this.x0=5e5,this.y0=this.utmSouth?1e7:0,this.k0=.9996,is.init.apply(this),this.forward=is.forward,this.inverse=is.inverse},names:["Universal Transverse Mercator System","utm"],dependsOn:"etmerc"},hs={init:function(){var t=Math.sin(this.lat0),s=Math.cos(this.lat0);s*=s,this.rc=Math.sqrt(1-this.es)/(1-this.es*t*t),this.C=Math.sqrt(1+this.es*s*s/(1-this.es)),this.phic0=Math.asin(t/this.C),this.ratexp=.5*this.C*this.e,this.K=Math.tan(.5*this.phic0+U)/(Math.pow(Math.tan(.5*this.lat0+U),this.C)*Bt(this.e*t,this.ratexp))},forward:function(t){var s=t.x,i=t.y;return t.y=2*Math.atan(this.K*Math.pow(Math.tan(.5*i+U),this.C)*Bt(this.e*Math.sin(i),this.ratexp))-z,t.x=this.C*s,t},inverse:function(t){for(var s=t.x/this.C,i=t.y,a=Math.pow(Math.tan(.5*i+U)/this.K,1/this.C),h=20;0<h&&(i=2*Math.atan(a*Bt(this.e*Math.sin(t.y),-.5*this.e))-z,!(Math.abs(i-t.y)<1e-14));--h)t.y=i;return h?(t.x=s,t.y=i,t):null},names:["gauss"]},es={init:function(){hs.init.apply(this),this.rc&&(this.sinc0=Math.sin(this.phic0),this.cosc0=Math.cos(this.phic0),this.R2=2*this.rc,this.title||(this.title="Oblique Stereographic Alternative"))},forward:function(t){var s,i,a,h;return t.x=nt(t.x-this.long0),hs.forward.apply(this,[t]),s=Math.sin(t.y),i=Math.cos(t.y),a=Math.cos(t.x),h=this.k0*this.R2/(1+this.sinc0*s+this.cosc0*i*a),t.x=h*i*Math.sin(t.x),t.y=h*(this.cosc0*s-this.sinc0*i*a),t.x=this.a*t.x+this.x0,t.y=this.a*t.y+this.y0,t},inverse:function(t){var s,i,a,h,e,n;return t.x=(t.x-this.x0)/this.a,t.y=(t.y-this.y0)/this.a,t.x/=this.k0,t.y/=this.k0,n=(s=Math.sqrt(t.x*t.x+t.y*t.y))?(i=2*Math.atan2(s,this.R2),a=Math.sin(i),h=Math.cos(i),e=Math.asin(h*this.sinc0+t.y*a*this.cosc0/s),Math.atan2(t.x*a,s*this.cosc0*h-t.y*this.sinc0*a)):(e=this.phic0,0),t.x=n,t.y=e,hs.inverse.apply(this,[t]),t.x=nt(t.x+this.long0),t},names:["Stereographic_North_Pole","Oblique_Stereographic","Polar_Stereographic","sterea","Oblique Stereographic Alternative","Double_Stereographic"]},ns={init:function(){this.coslat0=Math.cos(this.lat0),this.sinlat0=Math.sin(this.lat0),this.sphere?1===this.k0&&!isNaN(this.lat_ts)&&Math.abs(this.coslat0)<=D&&(this.k0=.5*(1+et(this.lat0)*Math.sin(this.lat_ts))):(Math.abs(this.coslat0)<=D&&(0<this.lat0?this.con=1:this.con=-1),this.cons=Math.sqrt(Math.pow(1+this.e,1+this.e)*Math.pow(1-this.e,1-this.e)),1===this.k0&&!isNaN(this.lat_ts)&&Math.abs(this.coslat0)<=D&&(this.k0=.5*this.cons*ht(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts))/rt(this.e,this.con*this.lat_ts,this.con*Math.sin(this.lat_ts))),this.ms1=ht(this.e,this.sinlat0,this.coslat0),this.X0=2*Math.atan(this.ssfn_(this.lat0,this.sinlat0,this.e))-z,this.cosX0=Math.cos(this.X0),this.sinX0=Math.sin(this.X0))},forward:function(t){var s,i,a,h,e,n,r=t.x,o=t.y,l=Math.sin(o),M=Math.cos(o),c=nt(r-this.long0);return Math.abs(Math.abs(r-this.long0)-Math.PI)<=D&&Math.abs(o+this.lat0)<=D?(t.x=NaN,t.y=NaN):this.sphere?(s=2*this.k0/(1+this.sinlat0*l+this.coslat0*M*Math.cos(c)),t.x=this.a*s*M*Math.sin(c)+this.x0,t.y=this.a*s*(this.coslat0*l-this.sinlat0*M*Math.cos(c))+this.y0):(i=2*Math.atan(this.ssfn_(o,l,this.e))-z,h=Math.cos(i),a=Math.sin(i),Math.abs(this.coslat0)<=D?(e=rt(this.e,o*this.con,this.con*l),n=2*this.a*this.k0*e/this.cons,t.x=this.x0+n*Math.sin(r-this.long0),t.y=this.y0-this.con*n*Math.cos(r-this.long0)):(Math.abs(this.sinlat0)<D?(s=2*this.a*this.k0/(1+h*Math.cos(c)),t.y=s*a):(s=2*this.a*this.k0*this.ms1/(this.cosX0*(1+this.sinX0*a+this.cosX0*h*Math.cos(c))),t.y=s*(this.cosX0*a-this.sinX0*h*Math.cos(c))+this.y0),t.x=s*h*Math.sin(c)+this.x0)),t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s,i,a,h=Math.sqrt(t.x*t.x+t.y*t.y);if(this.sphere){var e=2*Math.atan(h/(2*this.a*this.k0)),n=this.long0,r=this.lat0;return h<=D||(r=Math.asin(Math.cos(e)*this.sinlat0+t.y*Math.sin(e)*this.coslat0/h),n=nt(Math.abs(this.coslat0)<D?0<this.lat0?this.long0+Math.atan2(t.x,-1*t.y):this.long0+Math.atan2(t.x,t.y):this.long0+Math.atan2(t.x*Math.sin(e),h*this.coslat0*Math.cos(e)-t.y*this.sinlat0*Math.sin(e)))),t.x=n,t.y=r,t}if(Math.abs(this.coslat0)<=D){if(h<=D)return r=this.lat0,n=this.long0,t.x=n,t.y=r,t;t.x*=this.con,t.y*=this.con,s=h*this.cons/(2*this.a*this.k0),r=this.con*ot(this.e,s),n=this.con*nt(this.con*this.long0+Math.atan2(t.x,-1*t.y))}else i=2*Math.atan(h*this.cosX0/(2*this.a*this.k0*this.ms1)),n=this.long0,h<=D?a=this.X0:(a=Math.asin(Math.cos(i)*this.sinX0+t.y*Math.sin(i)*this.cosX0/h),n=nt(this.long0+Math.atan2(t.x*Math.sin(i),h*this.cosX0*Math.cos(i)-t.y*this.sinX0*Math.sin(i)))),r=-1*ot(this.e,Math.tan(.5*(z+a)));return t.x=n,t.y=r,t},names:["stere","Stereographic_South_Pole","Polar Stereographic (variant B)"],ssfn_:function(t,s,i){return s*=i,Math.tan(.5*(z+t))*Math.pow((1-s)/(1+s),.5*i)}},rs={init:function(){var t=this.lat0;this.lambda0=this.long0;var s=Math.sin(t),i=this.a,a=1/this.rf,h=2*a-Math.pow(a,2),e=this.e=Math.sqrt(h);this.R=this.k0*i*Math.sqrt(1-h)/(1-h*Math.pow(s,2)),this.alpha=Math.sqrt(1+h/(1-h)*Math.pow(Math.cos(t),4)),this.b0=Math.asin(s/this.alpha);var n=Math.log(Math.tan(Math.PI/4+this.b0/2)),r=Math.log(Math.tan(Math.PI/4+t/2)),o=Math.log((1+e*s)/(1-e*s));this.K=n-this.alpha*r+this.alpha*e/2*o},forward:function(t){var s=Math.log(Math.tan(Math.PI/4-t.y/2)),i=this.e/2*Math.log((1+this.e*Math.sin(t.y))/(1-this.e*Math.sin(t.y))),a=-this.alpha*(s+i)+this.K,h=2*(Math.atan(Math.exp(a))-Math.PI/4),e=this.alpha*(t.x-this.lambda0),n=Math.atan(Math.sin(e)/(Math.sin(this.b0)*Math.tan(h)+Math.cos(this.b0)*Math.cos(e))),r=Math.asin(Math.cos(this.b0)*Math.sin(h)-Math.sin(this.b0)*Math.cos(h)*Math.cos(e));return t.y=this.R/2*Math.log((1+Math.sin(r))/(1-Math.sin(r)))+this.y0,t.x=this.R*n+this.x0,t},inverse:function(t){for(var s=t.x-this.x0,i=t.y-this.y0,a=s/this.R,h=2*(Math.atan(Math.exp(i/this.R))-Math.PI/4),e=Math.asin(Math.cos(this.b0)*Math.sin(h)+Math.sin(this.b0)*Math.cos(h)*Math.cos(a)),n=Math.atan(Math.sin(a)/(Math.cos(this.b0)*Math.cos(a)-Math.sin(this.b0)*Math.tan(h))),r=this.lambda0+n/this.alpha,o=0,l=e,M=-1e3,c=0;1e-7<Math.abs(l-M);){if(20<++c)return;o=1/this.alpha*(Math.log(Math.tan(Math.PI/4+e/2))-this.K)+this.e*Math.log(Math.tan(Math.PI/4+Math.asin(this.e*Math.sin(l))/2)),M=l,l=2*Math.atan(Math.exp(o))-Math.PI/2}return t.x=r,t.y=l,t},names:["somerc"]},os={init:function(){this.no_off=this.no_off||!1,this.no_rot=this.no_rot||!1,isNaN(this.k0)&&(this.k0=1);var t=Math.sin(this.lat0),s=Math.cos(this.lat0),i=this.e*t;this.bl=Math.sqrt(1+this.es/(1-this.es)*Math.pow(s,4)),this.al=this.a*this.bl*this.k0*Math.sqrt(1-this.es)/(1-i*i);var a,h,e,n,r,o,l,M,c,u,f=rt(this.e,this.lat0,t),m=this.bl/s*Math.sqrt((1-this.es)/(1-i*i));m*m<1&&(m=1),isNaN(this.longc)?(h=rt(this.e,this.lat1,Math.sin(this.lat1)),e=rt(this.e,this.lat2,Math.sin(this.lat2)),0<=this.lat0?this.el=(m+Math.sqrt(m*m-1))*Math.pow(f,this.bl):this.el=(m-Math.sqrt(m*m-1))*Math.pow(f,this.bl),n=Math.pow(h,this.bl),r=Math.pow(e,this.bl),o=.5*((a=this.el/n)-1/a),l=(this.el*this.el-r*n)/(this.el*this.el+r*n),M=(r-n)/(r+n),c=nt(this.long1-this.long2),this.long0=.5*(this.long1+this.long2)-Math.atan(l*Math.tan(.5*this.bl*c)/M)/this.bl,this.long0=nt(this.long0),u=nt(this.long1-this.long0),this.gamma0=Math.atan(Math.sin(this.bl*u)/o),this.alpha=Math.asin(m*Math.sin(this.gamma0))):(a=0<=this.lat0?m+Math.sqrt(m*m-1):m-Math.sqrt(m*m-1),this.el=a*Math.pow(f,this.bl),o=.5*(a-1/a),this.gamma0=Math.asin(Math.sin(this.alpha)/m),this.long0=this.longc-Math.asin(o*Math.tan(this.gamma0))/this.bl),this.no_off?this.uc=0:0<=this.lat0?this.uc=this.al/this.bl*Math.atan2(Math.sqrt(m*m-1),Math.cos(this.alpha)):this.uc=-1*this.al/this.bl*Math.atan2(Math.sqrt(m*m-1),Math.cos(this.alpha))},forward:function(t){var s,i,a,h,e,n,r,o,l,M=t.x,c=t.y,u=nt(M-this.long0);return l=Math.abs(Math.abs(c)-z)<=D?(s=0<c?-1:1,o=this.al/this.bl*Math.log(Math.tan(U+s*this.gamma0*.5)),-1*s*z*this.al/this.bl):(i=rt(this.e,c,Math.sin(c)),h=.5*((a=this.el/Math.pow(i,this.bl))-1/a),e=.5*(a+1/a),n=Math.sin(this.bl*u),r=(h*Math.sin(this.gamma0)-n*Math.cos(this.gamma0))/e,o=Math.abs(Math.abs(r)-1)<=D?Number.POSITIVE_INFINITY:.5*this.al*Math.log((1-r)/(1+r))/this.bl,Math.abs(Math.cos(this.bl*u))<=D?this.al*this.bl*u:this.al*Math.atan2(h*Math.cos(this.gamma0)+n*Math.sin(this.gamma0),Math.cos(this.bl*u))/this.bl),this.no_rot?(t.x=this.x0+l,t.y=this.y0+o):(l-=this.uc,t.x=this.x0+o*Math.cos(this.alpha)+l*Math.sin(this.alpha),t.y=this.y0+l*Math.cos(this.alpha)-o*Math.sin(this.alpha)),t},inverse:function(t){var s,i;this.no_rot?(i=t.y-this.y0,s=t.x-this.x0):(i=(t.x-this.x0)*Math.cos(this.alpha)-(t.y-this.y0)*Math.sin(this.alpha),s=(t.y-this.y0)*Math.cos(this.alpha)+(t.x-this.x0)*Math.sin(this.alpha),s+=this.uc);var a=Math.exp(-1*this.bl*i/this.al),h=.5*(a-1/a),e=.5*(a+1/a),n=Math.sin(this.bl*s/this.al),r=(n*Math.cos(this.gamma0)+h*Math.sin(this.gamma0))/e,o=Math.pow(this.el/Math.sqrt((1+r)/(1-r)),1/this.bl);return Math.abs(r-1)<D?(t.x=this.long0,t.y=z):Math.abs(1+r)<D?(t.x=this.long0,t.y=-1*z):(t.y=ot(this.e,o),t.x=nt(this.long0-Math.atan2(h*Math.cos(this.gamma0)-n*Math.sin(this.gamma0),Math.cos(this.bl*s/this.al))/this.bl)),t},names:["Hotine_Oblique_Mercator","Hotine Oblique Mercator","Hotine_Oblique_Mercator_Azimuth_Natural_Origin","Hotine_Oblique_Mercator_Azimuth_Center","omerc"]},ls={init:function(){var t,s,i,a,h,e,n,r,o,l;this.lat2||(this.lat2=this.lat1),this.k0||(this.k0=1),this.x0=this.x0||0,this.y0=this.y0||0,Math.abs(this.lat1+this.lat2)<D||(t=this.b/this.a,this.e=Math.sqrt(1-t*t),s=Math.sin(this.lat1),i=Math.cos(this.lat1),a=ht(this.e,s,i),h=rt(this.e,this.lat1,s),e=Math.sin(this.lat2),n=Math.cos(this.lat2),r=ht(this.e,e,n),o=rt(this.e,this.lat2,e),l=rt(this.e,this.lat0,Math.sin(this.lat0)),Math.abs(this.lat1-this.lat2)>D?this.ns=Math.log(a/r)/Math.log(h/o):this.ns=s,isNaN(this.ns)&&(this.ns=s),this.f0=a/(this.ns*Math.pow(h,this.ns)),this.rh=this.a*this.f0*Math.pow(l,this.ns),this.title||(this.title="Lambert Conformal Conic"))},forward:function(t){var s=t.x,i=t.y;Math.abs(2*Math.abs(i)-Math.PI)<=D&&(i=et(i)*(z-2*D));var a,h,e=Math.abs(Math.abs(i)-z);if(D<e)a=rt(this.e,i,Math.sin(i)),h=this.a*this.f0*Math.pow(a,this.ns);else{if((e=i*this.ns)<=0)return null;h=0}var n=this.ns*nt(s-this.long0);return t.x=this.k0*(h*Math.sin(n))+this.x0,t.y=this.k0*(this.rh-h*Math.cos(n))+this.y0,t},inverse:function(t){var s,i,a,h,e=(t.x-this.x0)/this.k0,n=this.rh-(t.y-this.y0)/this.k0,r=0<this.ns?(s=Math.sqrt(e*e+n*n),1):(s=-Math.sqrt(e*e+n*n),-1),o=0;if(0!==s&&(o=Math.atan2(r*e,r*n)),0!==s||0<this.ns){if(r=1/this.ns,i=Math.pow(s/(this.a*this.f0),r),-9999===(a=ot(this.e,i)))return null}else a=-z;return h=nt(o/this.ns+this.long0),t.x=h,t.y=a,t},names:["Lambert Tangential Conformal Conic Projection","Lambert_Conformal_Conic","Lambert_Conformal_Conic_2SP","lcc"]},Ms={init:function(){this.a=6377397.155,this.es=.006674372230614,this.e=Math.sqrt(this.es),this.lat0||(this.lat0=.863937979737193),this.long0||(this.long0=.4334234309119251),this.k0||(this.k0=.9999),this.s45=.785398163397448,this.s90=2*this.s45,this.fi0=this.lat0,this.e2=this.es,this.e=Math.sqrt(this.e2),this.alfa=Math.sqrt(1+this.e2*Math.pow(Math.cos(this.fi0),4)/(1-this.e2)),this.uq=1.04216856380474,this.u0=Math.asin(Math.sin(this.fi0)/this.alfa),this.g=Math.pow((1+this.e*Math.sin(this.fi0))/(1-this.e*Math.sin(this.fi0)),this.alfa*this.e/2),this.k=Math.tan(this.u0/2+this.s45)/Math.pow(Math.tan(this.fi0/2+this.s45),this.alfa)*this.g,this.k1=this.k0,this.n0=this.a*Math.sqrt(1-this.e2)/(1-this.e2*Math.pow(Math.sin(this.fi0),2)),this.s0=1.37008346281555,this.n=Math.sin(this.s0),this.ro0=this.k1*this.n0/Math.tan(this.s0),this.ad=this.s90-this.uq},forward:function(t){var s=t.x,i=t.y,a=nt(s-this.long0),h=Math.pow((1+this.e*Math.sin(i))/(1-this.e*Math.sin(i)),this.alfa*this.e/2),e=2*(Math.atan(this.k*Math.pow(Math.tan(i/2+this.s45),this.alfa)/h)-this.s45),n=-a*this.alfa,r=Math.asin(Math.cos(this.ad)*Math.sin(e)+Math.sin(this.ad)*Math.cos(e)*Math.cos(n)),o=Math.asin(Math.cos(e)*Math.sin(n)/Math.cos(r)),l=this.n*o,M=this.ro0*Math.pow(Math.tan(this.s0/2+this.s45),this.n)/Math.pow(Math.tan(r/2+this.s45),this.n);return t.y=M*Math.cos(l),t.x=M*Math.sin(l),this.czech||(t.y*=-1,t.x*=-1),t},inverse:function(t){var s,i,a,h,e,n,r,o=t.x;t.x=t.y,t.y=o,this.czech||(t.y*=-1,t.x*=-1),e=Math.sqrt(t.x*t.x+t.y*t.y),h=Math.atan2(t.y,t.x)/Math.sin(this.s0),a=2*(Math.atan(Math.pow(this.ro0/e,1/this.n)*Math.tan(this.s0/2+this.s45))-this.s45),s=Math.asin(Math.cos(this.ad)*Math.sin(a)-Math.sin(this.ad)*Math.cos(a)*Math.cos(h)),i=Math.asin(Math.cos(a)*Math.sin(h)/Math.cos(s)),t.x=this.long0-i/this.alfa,n=s;for(var l=r=0;t.y=2*(Math.atan(Math.pow(this.k,-1/this.alfa)*Math.pow(Math.tan(s/2+this.s45),1/this.alfa)*Math.pow((1+this.e*Math.sin(n))/(1-this.e*Math.sin(n)),this.e/2))-this.s45),Math.abs(n-t.y)<1e-10&&(r=1),n=t.y,l+=1,0===r&&l<15;);return 15<=l?null:t},names:["Krovak","krovak"]},cs={init:function(){this.sphere||(this.e0=Ft(this.es),this.e1=Qt(this.es),this.e2=Wt(this.es),this.e3=Xt(this.es),this.ml0=this.a*Ut(this.e0,this.e1,this.e2,this.e3,this.lat0))},forward:function(t){var s,i,a,h,e,n,r,o,l,M=t.x,c=t.y,M=nt(M-this.long0);return l=this.sphere?(o=this.a*Math.asin(Math.cos(c)*Math.sin(M)),this.a*(Math.atan2(Math.tan(c),Math.cos(M))-this.lat0)):(s=Math.sin(c),i=Math.cos(c),a=Ht(this.a,this.e,s),h=Math.tan(c)*Math.tan(c),o=a*(e=M*Math.cos(c))*(1-(n=e*e)*h*(1/6-(8-h+8*(r=this.es*i*i/(1-this.es)))*n/120)),this.a*Ut(this.e0,this.e1,this.e2,this.e3,c)-this.ml0+a*s/i*n*(.5+(5-h+6*r)*n/24)),t.x=o+this.x0,t.y=l+this.y0,t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s=t.x/this.a,i=t.y/this.a;if(this.sphere)var a=i+this.lat0,h=Math.asin(Math.sin(a)*Math.cos(s)),e=Math.atan2(Math.tan(s),Math.cos(a));else{var n=this.ml0/this.a+i,r=Kt(n,this.e0,this.e1,this.e2,this.e3);if(Math.abs(Math.abs(r)-z)<=D)return t.x=this.long0,t.y=z,i<0&&(t.y*=-1),t;var o=Ht(this.a,this.e,Math.sin(r)),l=o*o*o/this.a/this.a*(1-this.es),M=Math.pow(Math.tan(r),2),c=s*this.a/o,u=c*c;h=r-o*Math.tan(r)/l*c*c*(.5-(1+3*M)*c*c/24),e=c*(1-u*(M/3+(1+3*M)*M*u/15))/Math.cos(r)}return t.x=nt(e+this.long0),t.y=Jt(h),t},names:["Cassini","Cassini_Soldner","cass"]},us={init:function(){var t,s,i,a,h=Math.abs(this.lat0);if(Math.abs(h-z)<D?this.mode=this.lat0<0?this.S_POLE:this.N_POLE:Math.abs(h)<D?this.mode=this.EQUIT:this.mode=this.OBLIQ,0<this.es)switch(this.qp=Vt(this.e,1),this.mmf=.5/(1-this.es),this.apa=(s=this.es,(a=[])[0]=.3333333333333333*s,i=s*s,a[0]+=.17222222222222222*i,a[1]=.06388888888888888*i,i*=s,a[0]+=.10257936507936508*i,a[1]+=.0664021164021164*i,a[2]=.016415012942191543*i,a),this.mode){case this.N_POLE:case this.S_POLE:this.dd=1;break;case this.EQUIT:this.rq=Math.sqrt(.5*this.qp),this.dd=1/this.rq,this.xmf=1,this.ymf=.5*this.qp;break;case this.OBLIQ:this.rq=Math.sqrt(.5*this.qp),t=Math.sin(this.lat0),this.sinb1=Vt(this.e,t)/this.qp,this.cosb1=Math.sqrt(1-this.sinb1*this.sinb1),this.dd=Math.cos(this.lat0)/(Math.sqrt(1-this.es*t*t)*this.rq*this.cosb1),this.ymf=(this.xmf=this.rq)/this.dd,this.xmf*=this.dd}else this.mode===this.OBLIQ&&(this.sinph0=Math.sin(this.lat0),this.cosph0=Math.cos(this.lat0))},forward:function(t){var s,i,a,h,e,n,r,o,l,M,c=t.x,u=t.y,c=nt(c-this.long0);if(this.sphere){if(e=Math.sin(u),M=Math.cos(u),a=Math.cos(c),this.mode===this.OBLIQ||this.mode===this.EQUIT){if((i=this.mode===this.EQUIT?1+M*a:1+this.sinph0*e+this.cosph0*M*a)<=D)return null;s=(i=Math.sqrt(2/i))*M*Math.sin(c),i*=this.mode===this.EQUIT?e:this.cosph0*e-this.sinph0*M*a}else if(this.mode===this.N_POLE||this.mode===this.S_POLE){if(this.mode===this.N_POLE&&(a=-a),Math.abs(u+this.lat0)<D)return null;i=U-.5*u,s=(i=2*(this.mode===this.S_POLE?Math.cos(i):Math.sin(i)))*Math.sin(c),i*=a}}else{switch(l=o=r=0,a=Math.cos(c),h=Math.sin(c),e=Math.sin(u),n=Vt(this.e,e),this.mode!==this.OBLIQ&&this.mode!==this.EQUIT||(r=n/this.qp,o=Math.sqrt(1-r*r)),this.mode){case this.OBLIQ:l=1+this.sinb1*r+this.cosb1*o*a;break;case this.EQUIT:l=1+o*a;break;case this.N_POLE:l=z+u,n=this.qp-n;break;case this.S_POLE:l=u-z,n=this.qp+n}if(Math.abs(l)<D)return null;switch(this.mode){case this.OBLIQ:case this.EQUIT:l=Math.sqrt(2/l),i=this.mode===this.OBLIQ?this.ymf*l*(this.cosb1*r-this.sinb1*o*a):(l=Math.sqrt(2/(1+o*a)))*r*this.ymf,s=this.xmf*l*o*h;break;case this.N_POLE:case this.S_POLE:0<=n?(s=(l=Math.sqrt(n))*h,i=a*(this.mode===this.S_POLE?l:-l)):s=i=0}}return t.x=this.a*s+this.x0,t.y=this.a*i+this.y0,t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s,i,a,h,e,n,r,o,l,M,c=t.x/this.a,u=t.y/this.a;if(this.sphere){var f=0,m=0,p=Math.sqrt(c*c+u*u);if(1<(i=.5*p))return null;switch(i=2*Math.asin(i),this.mode!==this.OBLIQ&&this.mode!==this.EQUIT||(m=Math.sin(i),f=Math.cos(i)),this.mode){case this.EQUIT:i=Math.abs(p)<=D?0:Math.asin(u*m/p),c*=m,u=f*p;break;case this.OBLIQ:i=Math.abs(p)<=D?this.lat0:Math.asin(f*this.sinph0+u*m*this.cosph0/p),c*=m*this.cosph0,u=(f-Math.sin(i)*this.sinph0)*p;break;case this.N_POLE:u=-u,i=z-i;break;case this.S_POLE:i-=z}s=0!==u||this.mode!==this.EQUIT&&this.mode!==this.OBLIQ?Math.atan2(c,u):0}else{if(r=0,this.mode===this.OBLIQ||this.mode===this.EQUIT){if(c/=this.dd,u*=this.dd,(n=Math.sqrt(c*c+u*u))<D)return t.x=this.long0,t.y=this.lat0,t;h=2*Math.asin(.5*n/this.rq),a=Math.cos(h),c*=h=Math.sin(h),u=this.mode===this.OBLIQ?(r=a*this.sinb1+u*h*this.cosb1/n,e=this.qp*r,n*this.cosb1*a-u*this.sinb1*h):(r=u*h/n,e=this.qp*r,n*a)}else if(this.mode===this.N_POLE||this.mode===this.S_POLE){if(this.mode===this.N_POLE&&(u=-u),!(e=c*c+u*u))return t.x=this.long0,t.y=this.lat0,t;r=1-e/this.qp,this.mode===this.S_POLE&&(r=-r)}s=Math.atan2(c,u),o=Math.asin(r),l=this.apa,M=o+o,i=o+l[0]*Math.sin(M)+l[1]*Math.sin(M+M)+l[2]*Math.sin(M+M+M)}return t.x=nt(this.long0+s),t.y=i,t},names:["Lambert Azimuthal Equal Area","Lambert_Azimuthal_Equal_Area","laea"],S_POLE:1,N_POLE:2,EQUIT:3,OBLIQ:4},fs={init:function(){Math.abs(this.lat1+this.lat2)<D||(this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e3=Math.sqrt(this.es),this.sin_po=Math.sin(this.lat1),this.cos_po=Math.cos(this.lat1),this.t1=this.sin_po,this.con=this.sin_po,this.ms1=ht(this.e3,this.sin_po,this.cos_po),this.qs1=Vt(this.e3,this.sin_po,this.cos_po),this.sin_po=Math.sin(this.lat2),this.cos_po=Math.cos(this.lat2),this.t2=this.sin_po,this.ms2=ht(this.e3,this.sin_po,this.cos_po),this.qs2=Vt(this.e3,this.sin_po,this.cos_po),this.sin_po=Math.sin(this.lat0),this.cos_po=Math.cos(this.lat0),this.t3=this.sin_po,this.qs0=Vt(this.e3,this.sin_po,this.cos_po),Math.abs(this.lat1-this.lat2)>D?this.ns0=(this.ms1*this.ms1-this.ms2*this.ms2)/(this.qs2-this.qs1):this.ns0=this.con,this.c=this.ms1*this.ms1+this.ns0*this.qs1,this.rh=this.a*Math.sqrt(this.c-this.ns0*this.qs0)/this.ns0)},forward:function(t){var s=t.x,i=t.y;this.sin_phi=Math.sin(i),this.cos_phi=Math.cos(i);var a=Vt(this.e3,this.sin_phi,this.cos_phi),h=this.a*Math.sqrt(this.c-this.ns0*a)/this.ns0,e=this.ns0*nt(s-this.long0),n=h*Math.sin(e)+this.x0,r=this.rh-h*Math.cos(e)+this.y0;return t.x=n,t.y=r,t},inverse:function(t){var s,i,a,h,e,n;return t.x-=this.x0,t.y=this.rh-t.y+this.y0,a=0<=this.ns0?(s=Math.sqrt(t.x*t.x+t.y*t.y),1):(s=-Math.sqrt(t.x*t.x+t.y*t.y),-1),(h=0)!==s&&(h=Math.atan2(a*t.x,a*t.y)),a=s*this.ns0/this.a,n=this.sphere?Math.asin((this.c-a*a)/(2*this.ns0)):(i=(this.c-a*a)/this.ns0,this.phi1z(this.e3,i)),e=nt(h/this.ns0+this.long0),t.x=e,t.y=n,t},names:["Albers_Conic_Equal_Area","Albers","aea"],phi1z:function(t,s){var i,a,h,e,n=Zt(.5*s);if(t<D)return n;for(var r=t*t,o=1;o<=25;o++)if(n+=e=.5*(h=1-(a=t*(i=Math.sin(n)))*a)*h/Math.cos(n)*(s/(1-r)-i/h+.5/t*Math.log((1-a)/(1+a))),Math.abs(e)<=1e-7)return n;return null}},ms={init:function(){this.sin_p14=Math.sin(this.lat0),this.cos_p14=Math.cos(this.lat0),this.infinity_dist=1e3*this.a,this.rc=1},forward:function(t){var s,i,a=t.x,h=t.y,e=nt(a-this.long0),n=Math.sin(h),r=Math.cos(h),o=Math.cos(e),l=0<(s=this.sin_p14*n+this.cos_p14*r*o)||Math.abs(s)<=D?(i=this.x0+this.a*r*Math.sin(e)/s,this.y0+this.a*(this.cos_p14*n-this.sin_p14*r*o)/s):(i=this.x0+this.infinity_dist*r*Math.sin(e),this.y0+this.infinity_dist*(this.cos_p14*n-this.sin_p14*r*o));return t.x=i,t.y=l,t},inverse:function(t){var s,i,a,h,e,n;return t.x=(t.x-this.x0)/this.a,t.y=(t.y-this.y0)/this.a,t.x/=this.k0,t.y/=this.k0,e=(s=Math.sqrt(t.x*t.x+t.y*t.y))?(h=Math.atan2(s,this.rc),i=Math.sin(h),a=Math.cos(h),n=Zt(a*this.sin_p14+t.y*i*this.cos_p14/s),e=Math.atan2(t.x*i,s*this.cos_p14*a-t.y*this.sin_p14*i),nt(this.long0+e)):(n=this.phic0,0),t.x=e,t.y=n,t},names:["gnom"]},ps={init:function(){this.sphere||(this.k0=ht(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)))},forward:function(t){var s,i,a,h=t.x,e=t.y,n=nt(h-this.long0);return a=this.sphere?(i=this.x0+this.a*n*Math.cos(this.lat_ts),this.y0+this.a*Math.sin(e)/Math.cos(this.lat_ts)):(s=Vt(this.e,Math.sin(e)),i=this.x0+this.a*this.k0*n,this.y0+this.a*s*.5/this.k0),t.x=i,t.y=a,t},inverse:function(t){var s,i;return t.x-=this.x0,t.y-=this.y0,this.sphere?(s=nt(this.long0+t.x/this.a/Math.cos(this.lat_ts)),i=Math.asin(t.y/this.a*Math.cos(this.lat_ts))):(i=function(t,s){var i=1-(1-t*t)/(2*t)*Math.log((1-t)/(1+t));if(Math.abs(Math.abs(s)-i)<1e-6)return s<0?-1*z:z;for(var a,h,e,n,r=Math.asin(.5*s),o=0;o<30;o++)if(h=Math.sin(r),e=Math.cos(r),n=t*h,r+=a=Math.pow(1-n*n,2)/(2*e)*(s/(1-t*t)-h/(1-n*n)+.5/t*Math.log((1-n)/(1+n))),Math.abs(a)<=1e-10)return r;return NaN}(this.e,2*t.y*this.k0/this.a),s=nt(this.long0+t.x/(this.a*this.k0))),t.x=s,t.y=i,t},names:["cea"]},ds={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.lat0=this.lat0||0,this.long0=this.long0||0,this.lat_ts=this.lat_ts||0,this.title=this.title||"Equidistant Cylindrical (Plate Carre)",this.rc=Math.cos(this.lat_ts)},forward:function(t){var s=t.x,i=t.y,a=nt(s-this.long0),h=Jt(i-this.lat0);return t.x=this.x0+this.a*a*this.rc,t.y=this.y0+this.a*h,t},inverse:function(t){var s=t.x,i=t.y;return t.x=nt(this.long0+(s-this.x0)/(this.a*this.rc)),t.y=Jt(this.lat0+(i-this.y0)/this.a),t},names:["Equirectangular","Equidistant_Cylindrical","eqc"]},ys={init:function(){this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e=Math.sqrt(this.es),this.e0=Ft(this.es),this.e1=Qt(this.es),this.e2=Wt(this.es),this.e3=Xt(this.es),this.ml0=this.a*Ut(this.e0,this.e1,this.e2,this.e3,this.lat0)},forward:function(t){var s,i,a,h=t.x,e=t.y,n=nt(h-this.long0),r=n*Math.sin(e);return a=this.sphere?Math.abs(e)<=D?(i=this.a*n,-1*this.a*this.lat0):(i=this.a*Math.sin(r)/Math.tan(e),this.a*(Jt(e-this.lat0)+(1-Math.cos(r))/Math.tan(e))):Math.abs(e)<=D?(i=this.a*n,-1*this.ml0):(i=(s=Ht(this.a,this.e,Math.sin(e))/Math.tan(e))*Math.sin(r),this.a*Ut(this.e0,this.e1,this.e2,this.e3,e)-this.ml0+s*(1-Math.cos(r))),t.x=i+this.x0,t.y=a+this.y0,t},inverse:function(t){var s,i,a,h,e,n,r,o,l=t.x-this.x0,M=t.y-this.y0;if(this.sphere)if(Math.abs(M+this.a*this.lat0)<=D)s=nt(l/this.a+this.long0),i=0;else{for(var c,u=this.lat0+M/this.a,f=l*l/this.a/this.a+u*u,m=u,p=20;p;--p)if(m+=a=-1*(u*(m*(c=Math.tan(m))+1)-m-.5*(m*m+f)*c)/((m-u)/c-1),Math.abs(a)<=D){i=m;break}s=nt(this.long0+Math.asin(l*Math.tan(m)/this.a)/Math.sin(i))}else if(Math.abs(M+this.ml0)<=D)i=0,s=nt(this.long0+l/this.a);else{for(u=(this.ml0+M)/this.a,f=l*l/this.a/this.a+u*u,m=u,p=20;p;--p)if(o=this.e*Math.sin(m),h=Math.sqrt(1-o*o)*Math.tan(m),e=this.a*Ut(this.e0,this.e1,this.e2,this.e3,m),n=this.e0-2*this.e1*Math.cos(2*m)+4*this.e2*Math.cos(4*m)-6*this.e3*Math.cos(6*m),m-=a=(u*(h*(r=e/this.a)+1)-r-.5*h*(r*r+f))/(this.es*Math.sin(2*m)*(r*r+f-2*u*r)/(4*h)+(u-r)*(h*n-2/Math.sin(2*m))-n),Math.abs(a)<=D){i=m;break}h=Math.sqrt(1-this.es*Math.pow(Math.sin(i),2))*Math.tan(i),s=nt(this.long0+Math.asin(l*h/this.a)/Math.sin(i))}return t.x=s,t.y=i,t},names:["Polyconic","poly"]},_s={init:function(){this.A=[],this.A[1]=.6399175073,this.A[2]=-.1358797613,this.A[3]=.063294409,this.A[4]=-.02526853,this.A[5]=.0117879,this.A[6]=-.0055161,this.A[7]=.0026906,this.A[8]=-.001333,this.A[9]=67e-5,this.A[10]=-34e-5,this.B_re=[],this.B_im=[],this.B_re[1]=.7557853228,this.B_im[1]=0,this.B_re[2]=.249204646,this.B_im[2]=.003371507,this.B_re[3]=-.001541739,this.B_im[3]=.04105856,this.B_re[4]=-.10162907,this.B_im[4]=.01727609,this.B_re[5]=-.26623489,this.B_im[5]=-.36249218,this.B_re[6]=-.6870983,this.B_im[6]=-1.1651967,this.C_re=[],this.C_im=[],this.C_re[1]=1.3231270439,this.C_im[1]=0,this.C_re[2]=-.577245789,this.C_im[2]=-.007809598,this.C_re[3]=.508307513,this.C_im[3]=-.112208952,this.C_re[4]=-.15094762,this.C_im[4]=.18200602,this.C_re[5]=1.01418179,this.C_im[5]=1.64497696,this.C_re[6]=1.9660549,this.C_im[6]=2.5127645,this.D=[],this.D[1]=1.5627014243,this.D[2]=.5185406398,this.D[3]=-.03333098,this.D[4]=-.1052906,this.D[5]=-.0368594,this.D[6]=.007317,this.D[7]=.0122,this.D[8]=.00394,this.D[9]=-.0013},forward:function(t){for(var s=t.x,i=t.y-this.lat0,a=s-this.long0,h=i/j*1e-5,e=a,n=1,r=0,o=1;o<=10;o++)n*=h,r+=this.A[o]*n;var l,M=r,c=e,u=1,f=0,m=0,p=0;for(o=1;o<=6;o++)l=f*M+u*c,u=u*M-f*c,f=l,m=m+this.B_re[o]*u-this.B_im[o]*f,p=p+this.B_im[o]*u+this.B_re[o]*f;return t.x=p*this.a+this.x0,t.y=m*this.a+this.y0,t},inverse:function(t){var s,i=t.x,a=t.y,h=i-this.x0,e=(a-this.y0)/this.a,n=h/this.a,r=1,o=0,l=0,M=0;for(y=1;y<=6;y++)s=o*e+r*n,r=r*e-o*n,o=s,l=l+this.C_re[y]*r-this.C_im[y]*o,M=M+this.C_im[y]*r+this.C_re[y]*o;for(var c=0;c<this.iterations;c++){for(var u,f=l,m=M,p=e,d=n,y=2;y<=6;y++)u=m*l+f*M,f=f*l-m*M,m=u,p+=(y-1)*(this.B_re[y]*f-this.B_im[y]*m),d+=(y-1)*(this.B_im[y]*f+this.B_re[y]*m);f=1,m=0;var _=this.B_re[1],x=this.B_im[1];for(y=2;y<=6;y++)u=m*l+f*M,f=f*l-m*M,m=u,_+=y*(this.B_re[y]*f-this.B_im[y]*m),x+=y*(this.B_im[y]*f+this.B_re[y]*m);var g=_*_+x*x,l=(p*_+d*x)/g,M=(d*_-p*x)/g}var b=l,v=M,w=1,C=0;for(y=1;y<=9;y++)w*=b,C+=this.D[y]*w;var P=this.lat0+C*j*1e5,S=this.long0+v;return t.x=S,t.y=P,t},names:["New_Zealand_Map_Grid","nzmg"]},xs={init:function(){},forward:function(t){var s=t.x,i=t.y,a=nt(s-this.long0),h=this.x0+this.a*a,e=this.y0+this.a*Math.log(Math.tan(Math.PI/4+i/2.5))*1.25;return t.x=h,t.y=e,t},inverse:function(t){t.x-=this.x0,t.y-=this.y0;var s=nt(this.long0+t.x/this.a),i=2.5*(Math.atan(Math.exp(.8*t.y/this.a))-Math.PI/4);return t.x=s,t.y=i,t},names:["Miller_Cylindrical","mill"]},gs={init:function(){this.sphere?(this.n=1,this.m=0,this.es=0,this.C_y=Math.sqrt((this.m+1)/this.n),this.C_x=this.C_y/(this.m+1)):this.en=At(this.es)},forward:function(t){var s=t.x,i=t.y,s=nt(s-this.long0);if(this.sphere){if(this.m)for(var a=this.n*Math.sin(i),h=20;h;--h){var e=(this.m*i+Math.sin(i)-a)/(this.m+Math.cos(i));if(i-=e,Math.abs(e)<D)break}else i=1!==this.n?Math.asin(this.n*Math.sin(i)):i;l=this.a*this.C_x*s*(this.m+Math.cos(i)),o=this.a*this.C_y*i}else var n=Math.sin(i),r=Math.cos(i),o=this.a*Gt(i,n,r,this.en),l=this.a*s*r/Math.sqrt(1-this.es*n*n);return t.x=l,t.y=o,t},inverse:function(t){var s,i,a,h;return t.x-=this.x0,a=t.x/this.a,t.y-=this.y0,s=t.y/this.a,this.sphere?(s/=this.C_y,a/=this.C_x*(this.m+Math.cos(s)),this.m?s=Zt((this.m*s+Math.sin(s))/this.n):1!==this.n&&(s=Zt(Math.sin(s)/this.n)),a=nt(a+this.long0),s=Jt(s)):(s=jt(t.y/this.a,this.es,this.en),(h=Math.abs(s))<z?(h=Math.sin(s),i=this.long0+t.x*Math.sqrt(1-this.es*h*h)/(this.a*Math.cos(s)),a=nt(i)):h-D<z&&(a=this.long0)),t.x=a,t.y=s,t},names:["Sinusoidal","sinu"]},bs={init:function(){},forward:function(t){for(var s=t.x,i=t.y,a=nt(s-this.long0),h=i,e=Math.PI*Math.sin(i);;){var n=-(h+Math.sin(h)-e)/(1+Math.cos(h));if(h+=n,Math.abs(n)<D)break}h/=2,Math.PI/2-Math.abs(i)<D&&(a=0);var r=.900316316158*this.a*a*Math.cos(h)+this.x0,o=1.4142135623731*this.a*Math.sin(h)+this.y0;return t.x=r,t.y=o,t},inverse:function(t){var s,i;t.x-=this.x0,t.y-=this.y0,i=t.y/(1.4142135623731*this.a),.999999999999<Math.abs(i)&&(i=.999999999999),s=Math.asin(i);var a=nt(this.long0+t.x/(.900316316158*this.a*Math.cos(s)));a<-Math.PI&&(a=-Math.PI),a>Math.PI&&(a=Math.PI),i=(2*s+Math.sin(2*s))/Math.PI,1<Math.abs(i)&&(i=1);var h=Math.asin(i);return t.x=a,t.y=h,t},names:["Mollweide","moll"]},vs={init:function(){Math.abs(this.lat1+this.lat2)<D||(this.lat2=this.lat2||this.lat1,this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e=Math.sqrt(this.es),this.e0=Ft(this.es),this.e1=Qt(this.es),this.e2=Wt(this.es),this.e3=Xt(this.es),this.sinphi=Math.sin(this.lat1),this.cosphi=Math.cos(this.lat1),this.ms1=ht(this.e,this.sinphi,this.cosphi),this.ml1=Ut(this.e0,this.e1,this.e2,this.e3,this.lat1),Math.abs(this.lat1-this.lat2)<D?this.ns=this.sinphi:(this.sinphi=Math.sin(this.lat2),this.cosphi=Math.cos(this.lat2),this.ms2=ht(this.e,this.sinphi,this.cosphi),this.ml2=Ut(this.e0,this.e1,this.e2,this.e3,this.lat2),this.ns=(this.ms1-this.ms2)/(this.ml2-this.ml1)),this.g=this.ml1+this.ms1/this.ns,this.ml0=Ut(this.e0,this.e1,this.e2,this.e3,this.lat0),this.rh=this.a*(this.g-this.ml0))},forward:function(t){var s,i,a=t.x,h=t.y;i=this.sphere?this.a*(this.g-h):(s=Ut(this.e0,this.e1,this.e2,this.e3,h),this.a*(this.g-s));var e=this.ns*nt(a-this.long0),n=this.x0+i*Math.sin(e),r=this.y0+this.rh-i*Math.cos(e);return t.x=n,t.y=r,t},inverse:function(t){var s,i;t.x-=this.x0,t.y=this.rh-t.y+this.y0,s=0<=this.ns?(i=Math.sqrt(t.x*t.x+t.y*t.y),1):(i=-Math.sqrt(t.x*t.x+t.y*t.y),-1);var a=0;if(0!==i&&(a=Math.atan2(s*t.x,s*t.y)),this.sphere)return n=nt(this.long0+a/this.ns),e=Jt(this.g-i/this.a),t.x=n,t.y=e,t;var h=this.g-i/this.a,e=Kt(h,this.e0,this.e1,this.e2,this.e3),n=nt(this.long0+a/this.ns);return t.x=n,t.y=e,t},names:["Equidistant_Conic","eqdc"]},ws={init:function(){this.R=this.a},forward:function(t){var s,i=t.x,a=t.y,h=nt(i-this.long0);Math.abs(a)<=D&&(s=this.x0+this.R*h,d=this.y0);var e=Zt(2*Math.abs(a/Math.PI));(Math.abs(h)<=D||Math.abs(Math.abs(a)-z)<=D)&&(s=this.x0,d=0<=a?this.y0+Math.PI*this.R*Math.tan(.5*e):this.y0+Math.PI*this.R*-Math.tan(.5*e));var n=.5*Math.abs(Math.PI/h-h/Math.PI),r=n*n,o=Math.sin(e),l=Math.cos(e),M=l/(o+l-1),c=M*M,u=M*(2/o-1),f=u*u,m=Math.PI*this.R*(n*(M-f)+Math.sqrt(r*(M-f)*(M-f)-(f+r)*(c-f)))/(f+r);h<0&&(m=-m),s=this.x0+m;var p=r+M,m=Math.PI*this.R*(u*p-n*Math.sqrt((f+r)*(1+r)-p*p))/(f+r),d=0<=a?this.y0+m:this.y0-m;return t.x=s,t.y=d,t},inverse:function(t){var s,i,a,h,e,n,r,o,l,M,c,u;return t.x-=this.x0,t.y-=this.y0,c=Math.PI*this.R,e=(a=t.x/c)*a+(h=t.y/c)*h,c=3*(h*h/(o=-2*(n=-Math.abs(h)*(1+e))+1+2*h*h+e*e)+(2*(r=n-2*h*h+a*a)*r*r/o/o/o-9*n*r/o/o)/27)/(l=(n-r*r/3/o)/o)/(M=2*Math.sqrt(-l/3)),1<Math.abs(c)&&(c=0<=c?1:-1),u=Math.acos(c)/3,i=0<=t.y?(-M*Math.cos(u+Math.PI/3)-r/3/o)*Math.PI:-(-M*Math.cos(u+Math.PI/3)-r/3/o)*Math.PI,s=Math.abs(a)<D?this.long0:nt(this.long0+Math.PI*(e-1+Math.sqrt(1+2*(a*a-h*h)+e*e))/2/a),t.x=s,t.y=i,t},names:["Van_der_Grinten_I","VanDerGrinten","vandg"]},Cs={init:function(){this.sin_p12=Math.sin(this.lat0),this.cos_p12=Math.cos(this.lat0)},forward:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f,m,p,d,y,_,x,g,b,v,w=t.x,C=t.y,P=Math.sin(t.y),S=Math.cos(t.y),N=nt(w-this.long0);return this.sphere?Math.abs(this.sin_p12-1)<=D?(t.x=this.x0+this.a*(z-C)*Math.sin(N),t.y=this.y0-this.a*(z-C)*Math.cos(N)):Math.abs(this.sin_p12+1)<=D?(t.x=this.x0+this.a*(z+C)*Math.sin(N),t.y=this.y0+this.a*(z+C)*Math.cos(N)):(_=this.sin_p12*P+this.cos_p12*S*Math.cos(N),y=(d=Math.acos(_))?d/Math.sin(d):1,t.x=this.x0+this.a*y*S*Math.sin(N),t.y=this.y0+this.a*y*(this.cos_p12*P-this.sin_p12*S*Math.cos(N))):(s=Ft(this.es),i=Qt(this.es),a=Wt(this.es),h=Xt(this.es),Math.abs(this.sin_p12-1)<=D?(e=this.a*Ut(s,i,a,h,z),n=this.a*Ut(s,i,a,h,C),t.x=this.x0+(e-n)*Math.sin(N),t.y=this.y0-(e-n)*Math.cos(N)):Math.abs(this.sin_p12+1)<=D?(e=this.a*Ut(s,i,a,h,z),n=this.a*Ut(s,i,a,h,C),t.x=this.x0+(e+n)*Math.sin(N),t.y=this.y0+(e+n)*Math.cos(N)):(r=P/S,o=Ht(this.a,this.e,this.sin_p12),l=Ht(this.a,this.e,P),M=Math.atan((1-this.es)*r+this.es*o*this.sin_p12/(l*S)),x=0===(c=Math.atan2(Math.sin(N),this.cos_p12*Math.tan(M)-this.sin_p12*Math.cos(N)))?Math.asin(this.cos_p12*Math.sin(M)-this.sin_p12*Math.cos(M)):Math.abs(Math.abs(c)-Math.PI)<=D?-Math.asin(this.cos_p12*Math.sin(M)-this.sin_p12*Math.cos(M)):Math.asin(Math.sin(N)*Math.cos(M)/Math.sin(c)),u=this.e*this.sin_p12/Math.sqrt(1-this.es),d=o*x*(1-(g=x*x)*(p=(f=this.e*this.cos_p12*Math.cos(c)/Math.sqrt(1-this.es))*f)*(1-p)/6+(b=g*x)/8*(m=u*f)*(1-2*p)+(v=b*x)/120*(p*(4-7*p)-3*u*u*(1-7*p))-v*x/48*m),t.x=this.x0+d*Math.sin(c),t.y=this.y0+d*Math.cos(c))),t},inverse:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f,m,p,d,y,_,x,g,b,v,w;if(t.x-=this.x0,t.y-=this.y0,this.sphere){if((s=Math.sqrt(t.x*t.x+t.y*t.y))>2*z*this.a)return;return i=s/this.a,a=Math.sin(i),h=Math.cos(i),e=this.long0,Math.abs(s)<=D?n=this.lat0:(n=Zt(h*this.sin_p12+t.y*a*this.cos_p12/s),r=Math.abs(this.lat0)-z,e=nt(Math.abs(r)<=D?0<=this.lat0?this.long0+Math.atan2(t.x,-t.y):this.long0-Math.atan2(-t.x,t.y):this.long0+Math.atan2(t.x*a,s*this.cos_p12*h-t.y*this.sin_p12*a))),t.x=e,t.y=n,t}return o=Ft(this.es),l=Qt(this.es),M=Wt(this.es),c=Xt(this.es),Math.abs(this.sin_p12-1)<=D?(u=this.a*Ut(o,l,M,c,z),s=Math.sqrt(t.x*t.x+t.y*t.y),n=Kt((u-s)/this.a,o,l,M,c),e=nt(this.long0+Math.atan2(t.x,-1*t.y))):Math.abs(this.sin_p12+1)<=D?(u=this.a*Ut(o,l,M,c,z),s=Math.sqrt(t.x*t.x+t.y*t.y),n=Kt((s-u)/this.a,o,l,M,c),e=nt(this.long0+Math.atan2(t.x,t.y))):(s=Math.sqrt(t.x*t.x+t.y*t.y),p=Math.atan2(t.x,t.y),f=Ht(this.a,this.e,this.sin_p12),d=Math.cos(p),_=-(y=this.e*this.cos_p12*d)*y/(1-this.es),x=3*this.es*(1-_)*this.sin_p12*this.cos_p12*d/(1-this.es),v=1-_*(b=(g=s/f)-_*(1+_)*Math.pow(g,3)/6-x*(1+3*_)*Math.pow(g,4)/24)*b/2-g*b*b*b/6,m=Math.asin(this.sin_p12*Math.cos(b)+this.cos_p12*Math.sin(b)*d),e=nt(this.long0+Math.asin(Math.sin(p)*Math.sin(b)/Math.cos(m))),w=Math.sin(m),n=Math.atan2((w-this.es*v*this.sin_p12)*Math.tan(m),w*(1-this.es))),t.x=e,t.y=n,t},names:["Azimuthal_Equidistant","aeqd"]},Ps={init:function(){this.sin_p14=Math.sin(this.lat0),this.cos_p14=Math.cos(this.lat0)},forward:function(t){var s,i,a,h=t.x,e=t.y,n=nt(h-this.long0),r=Math.sin(e),o=Math.cos(e),l=Math.cos(n);return(0<(s=this.sin_p14*r+this.cos_p14*o*l)||Math.abs(s)<=D)&&(i=this.a*o*Math.sin(n),a=this.y0+this.a*(this.cos_p14*r-this.sin_p14*o*l)),t.x=i,t.y=a,t},inverse:function(t){var s,i,a,h,e,n,r;return t.x-=this.x0,t.y-=this.y0,s=Math.sqrt(t.x*t.x+t.y*t.y),i=Zt(s/this.a),a=Math.sin(i),h=Math.cos(i),n=this.long0,Math.abs(s)<=D?r=this.lat0:(r=Zt(h*this.sin_p14+t.y*a*this.cos_p14/s),e=Math.abs(this.lat0)-z,n=Math.abs(e)<=D?nt(0<=this.lat0?this.long0+Math.atan2(t.x,-t.y):this.long0-Math.atan2(-t.x,t.y)):nt(this.long0+Math.atan2(t.x*a,s*this.cos_p14*h-t.y*this.sin_p14*a))),t.x=n,t.y=r,t},names:["ortho"]},Ss=1,Ns=2,ks=3,Es=4,qs=5,Is=6,Os=1,As=2,Gs=3,js=4,zs={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.lat0=this.lat0||0,this.long0=this.long0||0,this.lat_ts=this.lat_ts||0,this.title=this.title||"Quadrilateralized Spherical Cube",this.lat0>=z-U/2?this.face=qs:this.lat0<=-(z-U/2)?this.face=Is:Math.abs(this.long0)<=U?this.face=Ss:Math.abs(this.long0)<=z+U?this.face=0<this.long0?Ns:Es:this.face=ks,0!==this.es&&(this.one_minus_f=1-(this.a-this.b)/this.a,this.one_minus_f_squared=this.one_minus_f*this.one_minus_f)},forward:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f={x:0,y:0},m={value:0};return t.x-=this.long0,s=0!==this.es?Math.atan(this.one_minus_f_squared*Math.tan(t.y)):t.y,i=t.x,this.face===qs?(h=z-s,a=U<=i&&i<=z+U?(m.value=Os,i-z):z+U<i||i<=-(z+U)?(m.value=As,0<i?i-Q:i+Q):-(z+U)<i&&i<=-U?(m.value=Gs,i+z):(m.value=js,i)):this.face===Is?(h=z+s,a=U<=i&&i<=z+U?(m.value=Os,z-i):i<U&&-U<=i?(m.value=As,-i):i<-U&&-(z+U)<=i?(m.value=Gs,-i-z):(m.value=js,0<i?Q-i:-i-Q)):(this.face===Ns?i=S(i,+z):this.face===ks?i=S(i,+Q):this.face===Es&&(i=S(i,-z)),M=Math.sin(s),c=Math.cos(s),u=Math.sin(i),r=c*Math.cos(i),o=c*u,l=M,this.face===Ss?a=P(h=Math.acos(r),l,o,m):this.face===Ns?a=P(h=Math.acos(o),l,-r,m):this.face===ks?a=P(h=Math.acos(-r),l,-o,m):this.face===Es?a=P(h=Math.acos(-o),l,r,m):(h=a=0,m.value=Os)),n=Math.atan(12/Q*(a+Math.acos(Math.sin(a)*Math.cos(U))-z)),e=Math.sqrt((1-Math.cos(h))/(Math.cos(n)*Math.cos(n))/(1-Math.cos(Math.atan(1/Math.cos(a))))),m.value===As?n+=z:m.value===Gs?n+=Q:m.value===js&&(n+=1.5*Q),f.x=e*Math.cos(n),f.y=e*Math.sin(n),f.x=f.x*this.a+this.x0,f.y=f.y*this.a+this.y0,t.x=f.x,t.y=f.y,t},inverse:function(t){var s,i,a,h,e,n,r,o,l,M,c,u,f,m,p,d={lam:0,phi:0},y={value:0};return t.x=(t.x-this.x0)/this.a,t.y=(t.y-this.y0)/this.a,i=Math.atan(Math.sqrt(t.x*t.x+t.y*t.y)),s=Math.atan2(t.y,t.x),0<=t.x&&t.x>=Math.abs(t.y)?y.value=Os:0<=t.y&&t.y>=Math.abs(t.x)?(y.value=As,s-=z):t.x<0&&-t.x>=Math.abs(t.y)?(y.value=Gs,s=s<0?s+Q:s-Q):(y.value=js,s+=z),c=Q/12*Math.tan(s),e=Math.sin(c)/(Math.cos(c)-1/Math.sqrt(2)),n=Math.atan(e),(r=1-(a=Math.cos(s))*a*(h=Math.tan(i))*h*(1-Math.cos(Math.atan(1/Math.cos(n)))))<-1?r=-1:1<r&&(r=1),this.face===qs?(o=Math.acos(r),d.phi=z-o,y.value===Os?d.lam=n+z:y.value===As?d.lam=n<0?n+Q:n-Q:y.value===Gs?d.lam=n-z:d.lam=n):this.face===Is?(o=Math.acos(r),d.phi=o-z,y.value===Os?d.lam=z-n:y.value===As?d.lam=-n:y.value===Gs?d.lam=-n-z:d.lam=n<0?-n-Q:Q-n):(c=(l=r)*l,u=1<=(c+=(M=1<=c?0:Math.sqrt(1-c)*Math.sin(n))*M)?0:Math.sqrt(1-c),y.value===As?(c=u,u=-M,M=c):y.value===Gs?(u=-u,M=-M):y.value===js&&(c=u,u=M,M=-c),this.face===Ns?(c=l,l=-u,u=c):this.face===ks?(l=-l,u=-u):this.face===Es&&(c=l,l=u,u=-c),d.phi=Math.acos(-M)-z,d.lam=Math.atan2(u,l),this.face===Ns?d.lam=S(d.lam,-z):this.face===ks?d.lam=S(d.lam,-Q):this.face===Es&&(d.lam=S(d.lam,+z))),0!==this.es&&(f=d.phi<0?1:0,m=Math.tan(d.phi),p=this.b/Math.sqrt(m*m+this.one_minus_f_squared),d.phi=Math.atan(Math.sqrt(this.a*this.a-p*p)/(this.one_minus_f*p)),f&&(d.phi=-d.phi)),d.lam+=this.long0,t.x=d.lam,t.y=d.phi,t},names:["Quadrilateralized Spherical 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<script>(function (factory) {
var L, proj4;
if (typeof define === 'function' && define.amd) {
// AMD
define(['leaflet', 'proj4'], factory);
} else if (typeof module === 'object' && typeof module.exports === "object") {
// Node/CommonJS
L = require('leaflet');
proj4 = require('proj4');
module.exports = factory(L, proj4);
} else {
// Browser globals
if (typeof window.L === 'undefined' || typeof window.proj4 === 'undefined')
throw 'Leaflet and proj4 must be loaded first';
factory(window.L, window.proj4);
}
}(function (L, proj4) {
if (proj4.__esModule && proj4.default) {
// If proj4 was bundled as an ES6 module, unwrap it to get
// to the actual main proj4 object.
// See discussion in https://github.com/kartena/Proj4Leaflet/pull/147
proj4 = proj4.default;
}
L.Proj = {};
L.Proj._isProj4Obj = function(a) {
return (typeof a.inverse !== 'undefined' &&
typeof a.forward !== 'undefined');
};
L.Proj.Projection = L.Class.extend({
initialize: function(code, def, bounds) {
var isP4 = L.Proj._isProj4Obj(code);
this._proj = isP4 ? code : this._projFromCodeDef(code, def);
this.bounds = isP4 ? def : bounds;
},
project: function (latlng) {
var point = this._proj.forward([latlng.lng, latlng.lat]);
return new L.Point(point[0], point[1]);
},
unproject: function (point, unbounded) {
var point2 = this._proj.inverse([point.x, point.y]);
return new L.LatLng(point2[1], point2[0], unbounded);
},
_projFromCodeDef: function(code, def) {
if (def) {
proj4.defs(code, def);
} else if (proj4.defs[code] === undefined) {
var urn = code.split(':');
if (urn.length > 3) {
code = urn[urn.length - 3] + ':' + urn[urn.length - 1];
}
if (proj4.defs[code] === undefined) {
throw 'No projection definition for code ' + code;
}
}
return proj4(code);
}
});
L.Proj.CRS = L.Class.extend({
includes: L.CRS,
options: {
transformation: new L.Transformation(1, 0, -1, 0)
},
initialize: function(a, b, c) {
var code,
proj,
def,
options;
if (L.Proj._isProj4Obj(a)) {
proj = a;
code = proj.srsCode;
options = b || {};
this.projection = new L.Proj.Projection(proj, options.bounds);
} else {
code = a;
def = b;
options = c || {};
this.projection = new L.Proj.Projection(code, def, options.bounds);
}
L.Util.setOptions(this, options);
this.code = code;
this.transformation = this.options.transformation;
if (this.options.origin) {
this.transformation =
new L.Transformation(1, -this.options.origin[0],
-1, this.options.origin[1]);
}
if (this.options.scales) {
this._scales = this.options.scales;
} else if (this.options.resolutions) {
this._scales = [];
for (var i = this.options.resolutions.length - 1; i >= 0; i--) {
if (this.options.resolutions[i]) {
this._scales[i] = 1 / this.options.resolutions[i];
}
}
}
this.infinite = !this.options.bounds;
},
scale: function(zoom) {
var iZoom = Math.floor(zoom),
baseScale,
nextScale,
scaleDiff,
zDiff;
if (zoom === iZoom) {
return this._scales[zoom];
} else {
// Non-integer zoom, interpolate
baseScale = this._scales[iZoom];
nextScale = this._scales[iZoom + 1];
scaleDiff = nextScale - baseScale;
zDiff = (zoom - iZoom);
return baseScale + scaleDiff * zDiff;
}
},
zoom: function(scale) {
// Find closest number in this._scales, down
var downScale = this._closestElement(this._scales, scale),
downZoom = this._scales.indexOf(downScale),
nextScale,
nextZoom,
scaleDiff;
// Check if scale is downScale => return array index
if (scale === downScale) {
return downZoom;
}
if (downScale === undefined) {
return -Infinity;
}
// Interpolate
nextZoom = downZoom + 1;
nextScale = this._scales[nextZoom];
if (nextScale === undefined) {
return Infinity;
}
scaleDiff = nextScale - downScale;
return (scale - downScale) / scaleDiff + downZoom;
},
distance: L.CRS.Earth.distance,
R: L.CRS.Earth.R,
/* Get the closest lowest element in an array */
_closestElement: function(array, element) {
var low;
for (var i = array.length; i--;) {
if (array[i] <= element && (low === undefined || low < array[i])) {
low = array[i];
}
}
return low;
}
});
L.Proj.GeoJSON = L.GeoJSON.extend({
initialize: function(geojson, options) {
this._callLevel = 0;
L.GeoJSON.prototype.initialize.call(this, geojson, options);
},
addData: function(geojson) {
var crs;
if (geojson) {
if (geojson.crs && geojson.crs.type === 'name') {
crs = new L.Proj.CRS(geojson.crs.properties.name);
} else if (geojson.crs && geojson.crs.type) {
crs = new L.Proj.CRS(geojson.crs.type + ':' + geojson.crs.properties.code);
}
if (crs !== undefined) {
this.options.coordsToLatLng = function(coords) {
var point = L.point(coords[0], coords[1]);
return crs.projection.unproject(point);
};
}
}
// Base class' addData might call us recursively, but
// CRS shouldn't be cleared in that case, since CRS applies
// to the whole GeoJSON, inluding sub-features.
this._callLevel++;
try {
L.GeoJSON.prototype.addData.call(this, geojson);
} finally {
this._callLevel--;
if (this._callLevel === 0) {
delete this.options.coordsToLatLng;
}
}
}
});
L.Proj.geoJson = function(geojson, options) {
return new L.Proj.GeoJSON(geojson, options);
};
L.Proj.ImageOverlay = L.ImageOverlay.extend({
initialize: function (url, bounds, options) {
L.ImageOverlay.prototype.initialize.call(this, url, null, options);
this._projectedBounds = bounds;
},
// Danger ahead: Overriding internal methods in Leaflet.
// Decided to do this rather than making a copy of L.ImageOverlay
// and doing very tiny modifications to it.
// Future will tell if this was wise or not.
_animateZoom: function (event) {
var scale = this._map.getZoomScale(event.zoom);
var northWest = L.point(this._projectedBounds.min.x, this._projectedBounds.max.y);
var offset = this._projectedToNewLayerPoint(northWest, event.zoom, event.center);
L.DomUtil.setTransform(this._image, offset, scale);
},
_reset: function () {
var zoom = this._map.getZoom();
var pixelOrigin = this._map.getPixelOrigin();
var bounds = L.bounds(
this._transform(this._projectedBounds.min, zoom)._subtract(pixelOrigin),
this._transform(this._projectedBounds.max, zoom)._subtract(pixelOrigin)
);
var size = bounds.getSize();
L.DomUtil.setPosition(this._image, bounds.min);
this._image.style.width = size.x + 'px';
this._image.style.height = size.y + 'px';
},
_projectedToNewLayerPoint: function (point, zoom, center) {
var viewHalf = this._map.getSize()._divideBy(2);
var newTopLeft = this._map.project(center, zoom)._subtract(viewHalf)._round();
var topLeft = newTopLeft.add(this._map._getMapPanePos());
return this._transform(point, zoom)._subtract(topLeft);
},
_transform: function (point, zoom) {
var crs = this._map.options.crs;
var transformation = crs.transformation;
var scale = crs.scale(zoom);
return transformation.transform(point, scale);
}
});
L.Proj.imageOverlay = function (url, bounds, options) {
return new L.Proj.ImageOverlay(url, bounds, options);
};
return L.Proj;
}));
</script>
<style type="text/css">.leaflet-tooltip.leaflet-tooltip-text-only,
.leaflet-tooltip.leaflet-tooltip-text-only:before,
.leaflet-tooltip.leaflet-tooltip-text-only:after {
background: none;
border: none;
box-shadow: none;
}
.leaflet-tooltip.leaflet-tooltip-text-only.leaflet-tooltip-left {
margin-left: 5px;
}
.leaflet-tooltip.leaflet-tooltip-text-only.leaflet-tooltip-right {
margin-left: -5px;
}
.leaflet-tooltip:after {
border-right: 6px solid transparent;
}
.leaflet-popup-pane .leaflet-popup-tip-container {
pointer-events: all;
cursor: pointer;
}
.leaflet-map-pane {
z-index: auto;
}
</style>
<script>(function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==typeof require&&require;if(!f&&c)return c(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u="function"==typeof require&&require,i=0;i<t.length;i++)o(t[i]);return o}return r})()({1:[function(require,module,exports){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = undefined;
var _util = require("./util");
function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
var ClusterLayerStore = /*#__PURE__*/function () {
function ClusterLayerStore(group) {
_classCallCheck(this, ClusterLayerStore);
this._layers = {};
this._group = group;
}
_createClass(ClusterLayerStore, [{
key: "add",
value: function add(layer, id) {
if (typeof id !== "undefined" && id !== null) {
if (this._layers[id]) {
this._group.removeLayer(this._layers[id]);
}
this._layers[id] = layer;
}
this._group.addLayer(layer);
}
}, {
key: "remove",
value: function remove(id) {
if (typeof id === "undefined" || id === null) {
return;
}
id = (0, _util.asArray)(id);
for (var i = 0; i < id.length; i++) {
if (this._layers[id[i]]) {
this._group.removeLayer(this._layers[id[i]]);
delete this._layers[id[i]];
}
}
}
}, {
key: "clear",
value: function clear() {
this._layers = {};
this._group.clearLayers();
}
}]);
return ClusterLayerStore;
}();
exports["default"] = ClusterLayerStore;
},{"./util":17}],2:[function(require,module,exports){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
var ControlStore = /*#__PURE__*/function () {
function ControlStore(map) {
_classCallCheck(this, ControlStore);
this._controlsNoId = [];
this._controlsById = {};
this._map = map;
}
_createClass(ControlStore, [{
key: "add",
value: function add(control, id, html) {
if (typeof id !== "undefined" && id !== null) {
if (this._controlsById[id]) {
this._map.removeControl(this._controlsById[id]);
}
this._controlsById[id] = control;
} else {
this._controlsNoId.push(control);
}
this._map.addControl(control);
}
}, {
key: "get",
value: function get(id) {
var control = null;
if (this._controlsById[id]) {
control = this._controlsById[id];
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return control;
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}, {
key: "remove",
value: function remove(id) {
if (this._controlsById[id]) {
var control = this._controlsById[id];
this._map.removeControl(control);
delete this._controlsById[id];
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}
}, {
key: "clear",
value: function clear() {
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this._map.removeControl(control);
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this._controlsNoId = [];
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this._map.removeControl(_control);
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this._controlsById = {};
}
}]);
return ControlStore;
}();
exports["default"] = ControlStore;
},{}],3:[function(require,module,exports){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports.getCRS = getCRS;
var _leaflet = require("./global/leaflet");
var _leaflet2 = _interopRequireDefault(_leaflet);
var _proj4leaflet = require("./global/proj4leaflet");
var _proj4leaflet2 = _interopRequireDefault(_proj4leaflet);
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
// Helper function to instanciate a ICRS instance.
function getCRS(crsOptions) {
var crs = _leaflet2["default"].CRS.EPSG3857; // Default Spherical Mercator
switch (crsOptions.crsClass) {
case "L.CRS.EPSG3857":
crs = _leaflet2["default"].CRS.EPSG3857;
break;
case "L.CRS.EPSG4326":
crs = _leaflet2["default"].CRS.EPSG4326;
break;
case "L.CRS.EPSG3395":
crs = _leaflet2["default"].CRS.EPSG3395;
break;
case "L.CRS.Simple":
crs = _leaflet2["default"].CRS.Simple;
break;
case "L.Proj.CRS":
if (crsOptions.options && crsOptions.options.bounds) {
crsOptions.options.bounds = _leaflet2["default"].bounds(crsOptions.options.bounds);
}
if (crsOptions.options && crsOptions.options.transformation) {
crsOptions.options.transformation = new _leaflet2["default"].Transformation(crsOptions.options.transformation[0], crsOptions.options.transformation[1], crsOptions.options.transformation[2], crsOptions.options.transformation[3]);
}
crs = new _proj4leaflet2["default"].CRS(crsOptions.code, crsOptions.proj4def, crsOptions.options);
break;
case "L.Proj.CRS.TMS":
if (crsOptions.options && crsOptions.options.bounds) {
crsOptions.options.bounds = _leaflet2["default"].bounds(crsOptions.options.bounds);
}
if (crsOptions.options && crsOptions.options.transformation) {
crsOptions.options.transformation = _leaflet2["default"].Transformation(crsOptions.options.transformation[0], crsOptions.options.transformation[1], crsOptions.options.transformation[2], crsOptions.options.transformation[3]);
} // L.Proj.CRS.TMS is deprecated as of Leaflet 1.x, fall back to L.Proj.CRS
//crs = new Proj4Leaflet.CRS.TMS(crsOptions.code, crsOptions.proj4def, crsOptions.projectedBounds, crsOptions.options);
crs = new _proj4leaflet2["default"].CRS(crsOptions.code, crsOptions.proj4def, crsOptions.options);
break;
}
return crs;
}
},{"./global/leaflet":10,"./global/proj4leaflet":11}],4:[function(require,module,exports){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = undefined;
var _util = require("./util");
function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
var DataFrame = /*#__PURE__*/function () {
function DataFrame() {
_classCallCheck(this, DataFrame);
this.columns = [];
this.colnames = [];
this.colstrict = [];
this.effectiveLength = 0;
this.colindices = {};
}
_createClass(DataFrame, [{
key: "_updateCachedProperties",
value: function _updateCachedProperties() {
var _this = this;
this.effectiveLength = 0;
this.colindices = {};
this.columns.forEach(function (column, i) {
_this.effectiveLength = Math.max(_this.effectiveLength, column.length);
_this.colindices[_this.colnames[i]] = i;
});
}
}, {
key: "_colIndex",
value: function _colIndex(colname) {
var index = this.colindices[colname];
if (typeof index === "undefined") return -1;
return index;
}
}, {
key: "col",
value: function col(name, values, strict) {
if (typeof name !== "string") throw new Error("Invalid column name \"" + name + "\"");
var index = this._colIndex(name);
if (arguments.length === 1) {
if (index < 0) return null;else return (0, _util.recycle)(this.columns[index], this.effectiveLength);
}
if (index < 0) {
index = this.colnames.length;
this.colnames.push(name);
}
this.columns[index] = (0, _util.asArray)(values);
this.colstrict[index] = !!strict; // TODO: Validate strictness (ensure lengths match up with other stricts)
this._updateCachedProperties();
return this;
}
}, {
key: "cbind",
value: function cbind(obj, strict) {
var _this2 = this;
Object.keys(obj).forEach(function (name) {
var coldata = obj[name];
_this2.col(name, coldata);
});
return this;
}
}, {
key: "get",
value: function get(row, col, missingOK) {
var _this3 = this;
if (row > this.effectiveLength) throw new Error("Row argument was out of bounds: " + row + " > " + this.effectiveLength);
var colIndex = -1;
if (typeof col === "undefined") {
var rowData = {};
this.colnames.forEach(function (name, i) {
rowData[name] = _this3.columns[i][row % _this3.columns[i].length];
});
return rowData;
} else if (typeof col === "string") {
colIndex = this._colIndex(col);
} else if (typeof col === "number") {
colIndex = col;
}
if (colIndex < 0 || colIndex > this.columns.length) {
if (missingOK) return void 0;else throw new Error("Unknown column index: " + col);
}
return this.columns[colIndex][row % this.columns[colIndex].length];
}
}, {
key: "nrow",
value: function nrow() {
return this.effectiveLength;
}
}]);
return DataFrame;
}();
exports["default"] = DataFrame;
},{"./util":17}],5:[function(require,module,exports){
"use strict";
var _leaflet = require("./global/leaflet");
var _leaflet2 = _interopRequireDefault(_leaflet);
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
// In RMarkdown's self-contained mode, we don't have a way to carry around the
// images that Leaflet needs but doesn't load into the page. Instead, we'll set
// data URIs for the default marker, and let any others be loaded via CDN.
if (typeof _leaflet2["default"].Icon.Default.imagePath === "undefined") {
// if in a local file, support http
switch (window.location.protocol) {
case "http:":
// don't force http site to be done with https
_leaflet2["default"].Icon.Default.imagePath = "http://cdn.leafletjs.com/leaflet/v1.3.1/images/";
break;
default:
// file
// https
// otherwise use https as it works on files and https
_leaflet2["default"].Icon.Default.imagePath = "https://unpkg.com/leaflet@1.3.1/dist/images/";
break;
} // don't know how to make this dataURI work since
// will be appended to Defaul.imagePath above
/*
if (L.Browser.retina) {
L.Icon.Default.prototype.options.iconUrl = "data:image/png;base64,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";
} else {
L.Icon.Default.prototype.options.iconUrl = "data:image/png;base64,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";
}
*/
}
},{"./global/leaflet":10}],6:[function(require,module,exports){
"use strict";
var _leaflet = require("./global/leaflet");
var _leaflet2 = _interopRequireDefault(_leaflet);
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
// add texxtsize, textOnly, and style
_leaflet2["default"].Tooltip.prototype.options.textsize = "10px";
_leaflet2["default"].Tooltip.prototype.options.textOnly = false;
_leaflet2["default"].Tooltip.prototype.options.style = null; // copy original layout to not completely stomp it.
var initLayoutOriginal = _leaflet2["default"].Tooltip.prototype._initLayout;
_leaflet2["default"].Tooltip.prototype._initLayout = function () {
initLayoutOriginal.call(this);
this._container.style.fontSize = this.options.textsize;
if (this.options.textOnly) {
_leaflet2["default"].DomUtil.addClass(this._container, "leaflet-tooltip-text-only");
}
if (this.options.style) {
for (var property in this.options.style) {
this._container.style[property] = this.options.style[property];
}
}
};
},{"./global/leaflet":10}],7:[function(require,module,exports){
"use strict";
var _leaflet = require("./global/leaflet");
var _leaflet2 = _interopRequireDefault(_leaflet);
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
var protocolRegex = /^\/\//;
var upgrade_protocol = function upgrade_protocol(urlTemplate) {
if (protocolRegex.test(urlTemplate)) {
if (window.location.protocol === "file:") {
// if in a local file, support http
// http should auto upgrade if necessary
urlTemplate = "http:" + urlTemplate;
}
}
return urlTemplate;
};
var originalLTileLayerInitialize = _leaflet2["default"].TileLayer.prototype.initialize;
_leaflet2["default"].TileLayer.prototype.initialize = function (urlTemplate, options) {
urlTemplate = upgrade_protocol(urlTemplate);
originalLTileLayerInitialize.call(this, urlTemplate, options);
};
var originalLTileLayerWMSInitialize = _leaflet2["default"].TileLayer.WMS.prototype.initialize;
_leaflet2["default"].TileLayer.WMS.prototype.initialize = function (urlTemplate, options) {
urlTemplate = upgrade_protocol(urlTemplate);
originalLTileLayerWMSInitialize.call(this, urlTemplate, options);
};
},{"./global/leaflet":10}],8:[function(require,module,exports){
(function (global){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = global.HTMLWidgets;
}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
},{}],9:[function(require,module,exports){
(function (global){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = global.jQuery;
}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
},{}],10:[function(require,module,exports){
(function (global){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = global.L;
}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
},{}],11:[function(require,module,exports){
(function (global){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = global.L.Proj;
}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
},{}],12:[function(require,module,exports){
(function (global){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = global.Shiny;
}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
},{}],13:[function(require,module,exports){
"use strict";
var _jquery = require("./global/jquery");
var _jquery2 = _interopRequireDefault(_jquery);
var _leaflet = require("./global/leaflet");
var _leaflet2 = _interopRequireDefault(_leaflet);
var _shiny = require("./global/shiny");
var _shiny2 = _interopRequireDefault(_shiny);
var _htmlwidgets = require("./global/htmlwidgets");
var _htmlwidgets2 = _interopRequireDefault(_htmlwidgets);
var _util = require("./util");
var _crs_utils = require("./crs_utils");
var _controlStore = require("./control-store");
var _controlStore2 = _interopRequireDefault(_controlStore);
var _layerManager = require("./layer-manager");
var _layerManager2 = _interopRequireDefault(_layerManager);
var _methods = require("./methods");
var _methods2 = _interopRequireDefault(_methods);
require("./fixup-default-icon");
require("./fixup-default-tooltip");
require("./fixup-url-protocol");
var _dataframe = require("./dataframe");
var _dataframe2 = _interopRequireDefault(_dataframe);
var _clusterLayerStore = require("./cluster-layer-store");
var _clusterLayerStore2 = _interopRequireDefault(_clusterLayerStore);
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
window.LeafletWidget = {};
window.LeafletWidget.utils = {};
var methods = window.LeafletWidget.methods = _jquery2["default"].extend({}, _methods2["default"]);
window.LeafletWidget.DataFrame = _dataframe2["default"];
window.LeafletWidget.ClusterLayerStore = _clusterLayerStore2["default"];
window.LeafletWidget.utils.getCRS = _crs_utils.getCRS; // Send updated bounds back to app. Takes a leaflet event object as input.
function updateBounds(map) {
var id = map.getContainer().id;
var bounds = map.getBounds();
_shiny2["default"].onInputChange(id + "_bounds", {
north: bounds.getNorthEast().lat,
east: bounds.getNorthEast().lng,
south: bounds.getSouthWest().lat,
west: bounds.getSouthWest().lng
});
_shiny2["default"].onInputChange(id + "_center", {
lng: map.getCenter().lng,
lat: map.getCenter().lat
});
_shiny2["default"].onInputChange(id + "_zoom", map.getZoom());
}
function preventUnintendedZoomOnScroll(map) {
// Prevent unwanted scroll capturing. Similar in purpose to
// https://github.com/CliffCloud/Leaflet.Sleep but with a
// different set of heuristics.
// The basic idea is that when a mousewheel/DOMMouseScroll
// event is seen, we disable scroll wheel zooming until the
// user moves their mouse cursor or clicks on the map. This
// is slightly trickier than just listening for mousemove,
// because mousemove is fired when the page is scrolled,
// even if the user did not physically move the mouse. We
// handle this by examining the mousemove event's screenX
// and screenY properties; if they change, we know it's a
// "true" move.
// lastScreen can never be null, but its x and y can.
var lastScreen = {
x: null,
y: null
};
(0, _jquery2["default"])(document).on("mousewheel DOMMouseScroll", "*", function (e) {
// Disable zooming (until the mouse moves or click)
map.scrollWheelZoom.disable(); // Any mousemove events at this screen position will be ignored.
lastScreen = {
x: e.originalEvent.screenX,
y: e.originalEvent.screenY
};
});
(0, _jquery2["default"])(document).on("mousemove", "*", function (e) {
// Did the mouse really move?
if (lastScreen.x !== null && e.screenX !== lastScreen.x || e.screenY !== lastScreen.y) {
// It really moved. Enable zooming.
map.scrollWheelZoom.enable();
lastScreen = {
x: null,
y: null
};
}
});
(0, _jquery2["default"])(document).on("mousedown", ".leaflet", function (e) {
// Clicking always enables zooming.
map.scrollWheelZoom.enable();
lastScreen = {
x: null,
y: null
};
});
}
_htmlwidgets2["default"].widget({
name: "leaflet",
type: "output",
factory: function factory(el, width, height) {
var map = null;
return {
// we need to store our map in our returned object.
getMap: function getMap() {
return map;
},
renderValue: function renderValue(data) {
// Create an appropriate CRS Object if specified
if (data && data.options && data.options.crs) {
data.options.crs = (0, _crs_utils.getCRS)(data.options.crs);
} // As per https://github.com/rstudio/leaflet/pull/294#discussion_r79584810
if (map) {
map.remove();
map = function () {
return;
}(); // undefine map
}
if (data.options.mapFactory && typeof data.options.mapFactory === "function") {
map = data.options.mapFactory(el, data.options);
} else {
map = _leaflet2["default"].map(el, data.options);
}
preventUnintendedZoomOnScroll(map); // Store some state in the map object
map.leafletr = {
// Has the map ever rendered successfully?
hasRendered: false,
// Data to be rendered when resize is called with area != 0
pendingRenderData: null
}; // Check if the map is rendered statically (no output binding)
if (_htmlwidgets2["default"].shinyMode && /\bshiny-bound-output\b/.test(el.className)) {
map.id = el.id; // Store the map on the element so we can find it later by ID
(0, _jquery2["default"])(el).data("leaflet-map", map); // When the map is clicked, send the coordinates back to the app
map.on("click", function (e) {
_shiny2["default"].onInputChange(map.id + "_click", {
lat: e.latlng.lat,
lng: e.latlng.lng,
".nonce": Math.random() // Force reactivity if lat/lng hasn't changed
});
});
var groupTimerId = null;
map.on("moveend", function (e) {
updateBounds(e.target);
}).on("layeradd layerremove", function (e) {
// If the layer that's coming or going is a group we created, tell
// the server.
if (map.layerManager.getGroupNameFromLayerGroup(e.layer)) {
// But to avoid chattiness, coalesce events
if (groupTimerId) {
clearTimeout(groupTimerId);
groupTimerId = null;
}
groupTimerId = setTimeout(function () {
groupTimerId = null;
_shiny2["default"].onInputChange(map.id + "_groups", map.layerManager.getVisibleGroups());
}, 100);
}
});
}
this.doRenderValue(data, map);
},
doRenderValue: function doRenderValue(data, map) {
// Leaflet does not behave well when you set up a bunch of layers when
// the map is not visible (width/height == 0). Popups get misaligned
// relative to their owning markers, and the fitBounds calculations
// are off. Therefore we wait until the map is actually showing to
// render the value (we rely on the resize() callback being invoked
// at the appropriate time).
//
// There may be an issue with leafletProxy() calls being made while
// the map is not being viewed--not sure what the right solution is
// there.
if (el.offsetWidth === 0 || el.offsetHeight === 0) {
map.leafletr.pendingRenderData = data;
return;
}
map.leafletr.pendingRenderData = null; // Merge data options into defaults
var options = _jquery2["default"].extend({
zoomToLimits: "always"
}, data.options);
if (!map.layerManager) {
map.controls = new _controlStore2["default"](map);
map.layerManager = new _layerManager2["default"](map);
} else {
map.controls.clear();
map.layerManager.clear();
}
var explicitView = false;
if (data.setView) {
explicitView = true;
map.setView.apply(map, data.setView);
}
if (data.fitBounds) {
explicitView = true;
methods.fitBounds.apply(map, data.fitBounds);
}
if (data.flyTo) {
if (!explicitView && !map.leafletr.hasRendered) {
// must be done to give a initial starting point
map.fitWorld();
}
explicitView = true;
map.flyTo.apply(map, data.flyTo);
}
if (data.flyToBounds) {
if (!explicitView && !map.leafletr.hasRendered) {
// must be done to give a initial starting point
map.fitWorld();
}
explicitView = true;
methods.flyToBounds.apply(map, data.flyToBounds);
}
if (data.options.center) {
explicitView = true;
} // Returns true if the zoomToLimits option says that the map should be
// zoomed to map elements.
function needsZoom() {
return options.zoomToLimits === "always" || options.zoomToLimits === "first" && !map.leafletr.hasRendered;
}
if (!explicitView && needsZoom() && !map.getZoom()) {
if (data.limits && !_jquery2["default"].isEmptyObject(data.limits)) {
// Use the natural limits of what's being drawn on the map
// If the size of the bounding box is 0, leaflet gets all weird
var pad = 0.006;
if (data.limits.lat[0] === data.limits.lat[1]) {
data.limits.lat[0] = data.limits.lat[0] - pad;
data.limits.lat[1] = data.limits.lat[1] + pad;
}
if (data.limits.lng[0] === data.limits.lng[1]) {
data.limits.lng[0] = data.limits.lng[0] - pad;
data.limits.lng[1] = data.limits.lng[1] + pad;
}
map.fitBounds([[data.limits.lat[0], data.limits.lng[0]], [data.limits.lat[1], data.limits.lng[1]]]);
} else {
map.fitWorld();
}
}
for (var i = 0; data.calls && i < data.calls.length; i++) {
var call = data.calls[i];
if (methods[call.method]) methods[call.method].apply(map, call.args);else (0, _util.log)("Unknown method " + call.method);
}
map.leafletr.hasRendered = true;
if (_htmlwidgets2["default"].shinyMode) {
setTimeout(function () {
updateBounds(map);
}, 1);
}
},
resize: function resize(width, height) {
if (map) {
map.invalidateSize();
if (map.leafletr.pendingRenderData) {
this.doRenderValue(map.leafletr.pendingRenderData, map);
}
}
}
};
}
});
if (_htmlwidgets2["default"].shinyMode) {
_shiny2["default"].addCustomMessageHandler("leaflet-calls", function (data) {
var id = data.id;
var el = document.getElementById(id);
var map = el ? (0, _jquery2["default"])(el).data("leaflet-map") : null;
if (!map) {
(0, _util.log)("Couldn't find map with id " + id);
return;
}
for (var i = 0; i < data.calls.length; i++) {
var call = data.calls[i];
if (call.dependencies) {
_shiny2["default"].renderDependencies(call.dependencies);
}
if (methods[call.method]) methods[call.method].apply(map, call.args);else (0, _util.log)("Unknown method " + call.method);
}
});
}
},{"./cluster-layer-store":1,"./control-store":2,"./crs_utils":3,"./dataframe":4,"./fixup-default-icon":5,"./fixup-default-tooltip":6,"./fixup-url-protocol":7,"./global/htmlwidgets":8,"./global/jquery":9,"./global/leaflet":10,"./global/shiny":12,"./layer-manager":14,"./methods":15,"./util":17}],14:[function(require,module,exports){
(function (global){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = undefined;
var _jquery = require("./global/jquery");
var _jquery2 = _interopRequireDefault(_jquery);
var _leaflet = require("./global/leaflet");
var _leaflet2 = _interopRequireDefault(_leaflet);
var _util = require("./util");
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
var LayerManager = /*#__PURE__*/function () {
function LayerManager(map) {
_classCallCheck(this, LayerManager);
this._map = map; // BEGIN layer indices
// {<groupname>: {<stamp>: layer}}
this._byGroup = {}; // {<categoryName>: {<stamp>: layer}}
this._byCategory = {}; // {<categoryName_layerId>: layer}
this._byLayerId = {}; // {<stamp>: {
// "group": <groupname>,
// "layerId": <layerId>,
// "category": <category>,
// "container": <container>
// }
// }
this._byStamp = {}; // {<crosstalkGroupName>: {<key>: [<stamp>, <stamp>, ...], ...}}
this._byCrosstalkGroup = {}; // END layer indices
// {<categoryName>: L.layerGroup}
this._categoryContainers = {}; // {<groupName>: L.layerGroup}
this._groupContainers = {};
}
_createClass(LayerManager, [{
key: "addLayer",
value: function addLayer(layer, category, layerId, group, ctGroup, ctKey) {
var _this = this;
// Was a group provided?
var hasId = typeof layerId === "string";
var grouped = typeof group === "string";
var stamp = _leaflet2["default"].Util.stamp(layer) + ""; // This will be the default layer group to add the layer to.
// We may overwrite this let before using it (i.e. if a group is assigned).
// This one liner creates the _categoryContainers[category] entry if it
// doesn't already exist.
var container = this._categoryContainers[category] = this._categoryContainers[category] || _leaflet2["default"].layerGroup().addTo(this._map);
var oldLayer = null;
if (hasId) {
// First, remove any layer with the same category and layerId
var prefixedLayerId = this._layerIdKey(category, layerId);
oldLayer = this._byLayerId[prefixedLayerId];
if (oldLayer) {
this._removeLayer(oldLayer);
} // Update layerId index
this._byLayerId[prefixedLayerId] = layer;
} // Update group index
if (grouped) {
this._byGroup[group] = this._byGroup[group] || {};
this._byGroup[group][stamp] = layer; // Since a group is assigned, don't add the layer to the category's layer
// group; instead, use the group's layer group.
// This one liner creates the _groupContainers[group] entry if it doesn't
// already exist.
container = this.getLayerGroup(group, true);
} // Update category index
this._byCategory[category] = this._byCategory[category] || {};
this._byCategory[category][stamp] = layer; // Update stamp index
var layerInfo = this._byStamp[stamp] = {
layer: layer,
group: group,
ctGroup: ctGroup,
ctKey: ctKey,
layerId: layerId,
category: category,
container: container,
hidden: false
}; // Update crosstalk group index
if (ctGroup) {
if (layer.setStyle) {
// Need to save this info so we know what to set opacity to later
layer.options.origOpacity = typeof layer.options.opacity !== "undefined" ? layer.options.opacity : 0.5;
layer.options.origFillOpacity = typeof layer.options.fillOpacity !== "undefined" ? layer.options.fillOpacity : 0.2;
}
var ctg = this._byCrosstalkGroup[ctGroup];
if (!ctg) {
ctg = this._byCrosstalkGroup[ctGroup] = {};
var crosstalk = global.crosstalk;
var handleFilter = function handleFilter(e) {
if (!e.value) {
var groupKeys = Object.keys(ctg);
for (var i = 0; i < groupKeys.length; i++) {
var key = groupKeys[i];
var _layerInfo = _this._byStamp[ctg[key]];
_this._setVisibility(_layerInfo, true);
}
} else {
var selectedKeys = {};
for (var _i = 0; _i < e.value.length; _i++) {
selectedKeys[e.value[_i]] = true;
}
var _groupKeys = Object.keys(ctg);
for (var _i2 = 0; _i2 < _groupKeys.length; _i2++) {
var _key = _groupKeys[_i2];
var _layerInfo2 = _this._byStamp[ctg[_key]];
_this._setVisibility(_layerInfo2, selectedKeys[_groupKeys[_i2]]);
}
}
};
var filterHandle = new crosstalk.FilterHandle(ctGroup);
filterHandle.on("change", handleFilter);
var handleSelection = function handleSelection(e) {
if (!e.value || !e.value.length) {
var groupKeys = Object.keys(ctg);
for (var i = 0; i < groupKeys.length; i++) {
var key = groupKeys[i];
var _layerInfo3 = _this._byStamp[ctg[key]];
_this._setOpacity(_layerInfo3, 1.0);
}
} else {
var selectedKeys = {};
for (var _i3 = 0; _i3 < e.value.length; _i3++) {
selectedKeys[e.value[_i3]] = true;
}
var _groupKeys2 = Object.keys(ctg);
for (var _i4 = 0; _i4 < _groupKeys2.length; _i4++) {
var _key2 = _groupKeys2[_i4];
var _layerInfo4 = _this._byStamp[ctg[_key2]];
_this._setOpacity(_layerInfo4, selectedKeys[_groupKeys2[_i4]] ? 1.0 : 0.2);
}
}
};
var selHandle = new crosstalk.SelectionHandle(ctGroup);
selHandle.on("change", handleSelection);
setTimeout(function () {
handleFilter({
value: filterHandle.filteredKeys
});
handleSelection({
value: selHandle.value
});
}, 100);
}
if (!ctg[ctKey]) ctg[ctKey] = [];
ctg[ctKey].push(stamp);
} // Add to container
if (!layerInfo.hidden) container.addLayer(layer);
return oldLayer;
}
}, {
key: "brush",
value: function brush(bounds, extraInfo) {
var _this2 = this;
/* eslint-disable no-console */
// For each Crosstalk group...
Object.keys(this._byCrosstalkGroup).forEach(function (ctGroupName) {
var ctg = _this2._byCrosstalkGroup[ctGroupName];
var selection = []; // ...iterate over each Crosstalk key (each of which may have multiple
// layers)...
Object.keys(ctg).forEach(function (ctKey) {
// ...and for each layer...
ctg[ctKey].forEach(function (stamp) {
var layerInfo = _this2._byStamp[stamp]; // ...if it's something with a point...
if (layerInfo.layer.getLatLng) {
// ... and it's inside the selection bounds...
// TODO: Use pixel containment, not lat/lng containment
if (bounds.contains(layerInfo.layer.getLatLng())) {
// ...add the key to the selection.
selection.push(ctKey);
}
}
});
});
new global.crosstalk.SelectionHandle(ctGroupName).set(selection, extraInfo);
});
}
}, {
key: "unbrush",
value: function unbrush(extraInfo) {
Object.keys(this._byCrosstalkGroup).forEach(function (ctGroupName) {
new global.crosstalk.SelectionHandle(ctGroupName).clear(extraInfo);
});
}
}, {
key: "_setVisibility",
value: function _setVisibility(layerInfo, visible) {
if (layerInfo.hidden ^ visible) {
return;
} else if (visible) {
layerInfo.container.addLayer(layerInfo.layer);
layerInfo.hidden = false;
} else {
layerInfo.container.removeLayer(layerInfo.layer);
layerInfo.hidden = true;
}
}
}, {
key: "_setOpacity",
value: function _setOpacity(layerInfo, opacity) {
if (layerInfo.layer.setOpacity) {
layerInfo.layer.setOpacity(opacity);
} else if (layerInfo.layer.setStyle) {
layerInfo.layer.setStyle({
opacity: opacity * layerInfo.layer.options.origOpacity,
fillOpacity: opacity * layerInfo.layer.options.origFillOpacity
});
}
}
}, {
key: "getLayer",
value: function getLayer(category, layerId) {
return this._byLayerId[this._layerIdKey(category, layerId)];
}
}, {
key: "removeLayer",
value: function removeLayer(category, layerIds) {
var _this3 = this;
// Find layer info
_jquery2["default"].each((0, _util.asArray)(layerIds), function (i, layerId) {
var layer = _this3._byLayerId[_this3._layerIdKey(category, layerId)];
if (layer) {
_this3._removeLayer(layer);
}
});
}
}, {
key: "clearLayers",
value: function clearLayers(category) {
var _this4 = this;
// Find all layers in _byCategory[category]
var catTable = this._byCategory[category];
if (!catTable) {
return false;
} // Remove all layers. Make copy of keys to avoid mutating the collection
// behind the iterator you're accessing.
var stamps = [];
_jquery2["default"].each(catTable, function (k, v) {
stamps.push(k);
});
_jquery2["default"].each(stamps, function (i, stamp) {
_this4._removeLayer(stamp);
});
}
}, {
key: "getLayerGroup",
value: function getLayerGroup(group, ensureExists) {
var g = this._groupContainers[group];
if (ensureExists && !g) {
this._byGroup[group] = this._byGroup[group] || {};
g = this._groupContainers[group] = _leaflet2["default"].featureGroup();
g.groupname = group;
g.addTo(this._map);
}
return g;
}
}, {
key: "getGroupNameFromLayerGroup",
value: function getGroupNameFromLayerGroup(layerGroup) {
return layerGroup.groupname;
}
}, {
key: "getVisibleGroups",
value: function getVisibleGroups() {
var _this5 = this;
var result = [];
_jquery2["default"].each(this._groupContainers, function (k, v) {
if (_this5._map.hasLayer(v)) {
result.push(k);
}
});
return result;
}
}, {
key: "getAllGroupNames",
value: function getAllGroupNames() {
var result = [];
_jquery2["default"].each(this._groupContainers, function (k, v) {
result.push(k);
});
return result;
}
}, {
key: "clearGroup",
value: function clearGroup(group) {
var _this6 = this;
// Find all layers in _byGroup[group]
var groupTable = this._byGroup[group];
if (!groupTable) {
return false;
} // Remove all layers. Make copy of keys to avoid mutating the collection
// behind the iterator you're accessing.
var stamps = [];
_jquery2["default"].each(groupTable, function (k, v) {
stamps.push(k);
});
_jquery2["default"].each(stamps, function (i, stamp) {
_this6._removeLayer(stamp);
});
}
}, {
key: "clear",
value: function clear() {
function clearLayerGroup(key, layerGroup) {
layerGroup.clearLayers();
} // Clear all indices and layerGroups
this._byGroup = {};
this._byCategory = {};
this._byLayerId = {};
this._byStamp = {};
this._byCrosstalkGroup = {};
_jquery2["default"].each(this._categoryContainers, clearLayerGroup);
this._categoryContainers = {};
_jquery2["default"].each(this._groupContainers, clearLayerGroup);
this._groupContainers = {};
}
}, {
key: "_removeLayer",
value: function _removeLayer(layer) {
var stamp;
if (typeof layer === "string") {
stamp = layer;
} else {
stamp = _leaflet2["default"].Util.stamp(layer);
}
var layerInfo = this._byStamp[stamp];
if (!layerInfo) {
return false;
}
layerInfo.container.removeLayer(stamp);
if (typeof layerInfo.group === "string") {
delete this._byGroup[layerInfo.group][stamp];
}
if (typeof layerInfo.layerId === "string") {
delete this._byLayerId[this._layerIdKey(layerInfo.category, layerInfo.layerId)];
}
delete this._byCategory[layerInfo.category][stamp];
delete this._byStamp[stamp];
if (layerInfo.ctGroup) {
var ctGroup = this._byCrosstalkGroup[layerInfo.ctGroup];
var layersForKey = ctGroup[layerInfo.ctKey];
var idx = layersForKey ? layersForKey.indexOf(stamp) : -1;
if (idx >= 0) {
if (layersForKey.length === 1) {
delete ctGroup[layerInfo.ctKey];
} else {
layersForKey.splice(idx, 1);
}
}
}
}
}, {
key: "_layerIdKey",
value: function _layerIdKey(category, layerId) {
return category + "\n" + layerId;
}
}]);
return LayerManager;
}();
exports["default"] = LayerManager;
}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
},{"./global/jquery":9,"./global/leaflet":10,"./util":17}],15:[function(require,module,exports){
(function (global){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
var _jquery = require("./global/jquery");
var _jquery2 = _interopRequireDefault(_jquery);
var _leaflet = require("./global/leaflet");
var _leaflet2 = _interopRequireDefault(_leaflet);
var _shiny = require("./global/shiny");
var _shiny2 = _interopRequireDefault(_shiny);
var _htmlwidgets = require("./global/htmlwidgets");
var _htmlwidgets2 = _interopRequireDefault(_htmlwidgets);
var _util = require("./util");
var _crs_utils = require("./crs_utils");
var _dataframe = require("./dataframe");
var _dataframe2 = _interopRequireDefault(_dataframe);
var _clusterLayerStore = require("./cluster-layer-store");
var _clusterLayerStore2 = _interopRequireDefault(_clusterLayerStore);
var _mipmapper = require("./mipmapper");
var _mipmapper2 = _interopRequireDefault(_mipmapper);
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
var methods = {};
exports["default"] = methods;
function mouseHandler(mapId, layerId, group, eventName, extraInfo) {
return function (e) {
if (!_htmlwidgets2["default"].shinyMode) return;
var latLng = e.target.getLatLng ? e.target.getLatLng() : e.latlng;
if (latLng) {
// retrieve only lat, lon values to remove prototype
// and extra parameters added by 3rd party modules
// these objects are for json serialization, not javascript
var latLngVal = _leaflet2["default"].latLng(latLng); // make sure it has consistent shape
latLng = {
lat: latLngVal.lat,
lng: latLngVal.lng
};
}
var eventInfo = _jquery2["default"].extend({
id: layerId,
".nonce": Math.random() // force reactivity
}, group !== null ? {
group: group
} : null, latLng, extraInfo);
_shiny2["default"].onInputChange(mapId + "_" + eventName, eventInfo);
};
}
methods.mouseHandler = mouseHandler;
methods.clearGroup = function (group) {
var _this = this;
_jquery2["default"].each((0, _util.asArray)(group), function (i, v) {
_this.layerManager.clearGroup(v);
});
};
methods.setView = function (center, zoom, options) {
this.setView(center, zoom, options);
};
methods.fitBounds = function (lat1, lng1, lat2, lng2, options) {
this.fitBounds([[lat1, lng1], [lat2, lng2]], options);
};
methods.flyTo = function (center, zoom, options) {
this.flyTo(center, zoom, options);
};
methods.flyToBounds = function (lat1, lng1, lat2, lng2, options) {
this.flyToBounds([[lat1, lng1], [lat2, lng2]], options);
};
methods.setMaxBounds = function (lat1, lng1, lat2, lng2) {
this.setMaxBounds([[lat1, lng1], [lat2, lng2]]);
};
methods.addPopups = function (lat, lng, popup, layerId, group, options) {
var _this2 = this;
var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("popup", popup).col("layerId", layerId).col("group", group).cbind(options);
var _loop = function _loop(i) {
if (_jquery2["default"].isNumeric(df.get(i, "lat")) && _jquery2["default"].isNumeric(df.get(i, "lng"))) {
(function () {
var popup = _leaflet2["default"].popup(df.get(i)).setLatLng([df.get(i, "lat"), df.get(i, "lng")]).setContent(df.get(i, "popup"));
var thisId = df.get(i, "layerId");
var thisGroup = df.get(i, "group");
this.layerManager.addLayer(popup, "popup", thisId, thisGroup);
}).call(_this2);
}
};
for (var i = 0; i < df.nrow(); i++) {
_loop(i);
}
};
methods.removePopup = function (layerId) {
this.layerManager.removeLayer("popup", layerId);
};
methods.clearPopups = function () {
this.layerManager.clearLayers("popup");
};
methods.addTiles = function (urlTemplate, layerId, group, options) {
this.layerManager.addLayer(_leaflet2["default"].tileLayer(urlTemplate, options), "tile", layerId, group);
};
methods.removeTiles = function (layerId) {
this.layerManager.removeLayer("tile", layerId);
};
methods.clearTiles = function () {
this.layerManager.clearLayers("tile");
};
methods.addWMSTiles = function (baseUrl, layerId, group, options) {
if (options && options.crs) {
options.crs = (0, _crs_utils.getCRS)(options.crs);
}
this.layerManager.addLayer(_leaflet2["default"].tileLayer.wms(baseUrl, options), "tile", layerId, group);
}; // Given:
// {data: ["a", "b", "c"], index: [0, 1, 0, 2]}
// returns:
// ["a", "b", "a", "c"]
function unpackStrings(iconset) {
if (!iconset) {
return iconset;
}
if (typeof iconset.index === "undefined") {
return iconset;
}
iconset.data = (0, _util.asArray)(iconset.data);
iconset.index = (0, _util.asArray)(iconset.index);
return _jquery2["default"].map(iconset.index, function (e, i) {
return iconset.data[e];
});
}
function addMarkers(map, df, group, clusterOptions, clusterId, markerFunc) {
(function () {
var _this3 = this;
var clusterGroup = this.layerManager.getLayer("cluster", clusterId),
cluster = clusterOptions !== null;
if (cluster && !clusterGroup) {
clusterGroup = _leaflet2["default"].markerClusterGroup.layerSupport(clusterOptions);
if (clusterOptions.freezeAtZoom) {
var freezeAtZoom = clusterOptions.freezeAtZoom;
delete clusterOptions.freezeAtZoom;
clusterGroup.freezeAtZoom(freezeAtZoom);
}
clusterGroup.clusterLayerStore = new _clusterLayerStore2["default"](clusterGroup);
}
var extraInfo = cluster ? {
clusterId: clusterId
} : {};
var _loop2 = function _loop2(i) {
if (_jquery2["default"].isNumeric(df.get(i, "lat")) && _jquery2["default"].isNumeric(df.get(i, "lng"))) {
(function () {
var marker = markerFunc(df, i);
var thisId = df.get(i, "layerId");
var thisGroup = cluster ? null : df.get(i, "group");
if (cluster) {
clusterGroup.clusterLayerStore.add(marker, thisId);
} else {
this.layerManager.addLayer(marker, "marker", thisId, thisGroup, df.get(i, "ctGroup", true), df.get(i, "ctKey", true));
}
var popup = df.get(i, "popup");
var popupOptions = df.get(i, "popupOptions");
if (popup !== null) {
if (popupOptions !== null) {
marker.bindPopup(popup, popupOptions);
} else {
marker.bindPopup(popup);
}
}
var label = df.get(i, "label");
var labelOptions = df.get(i, "labelOptions");
if (label !== null) {
if (labelOptions !== null) {
if (labelOptions.permanent) {
marker.bindTooltip(label, labelOptions).openTooltip();
} else {
marker.bindTooltip(label, labelOptions);
}
} else {
marker.bindTooltip(label);
}
}
marker.on("click", mouseHandler(this.id, thisId, thisGroup, "marker_click", extraInfo), this);
marker.on("mouseover", mouseHandler(this.id, thisId, thisGroup, "marker_mouseover", extraInfo), this);
marker.on("mouseout", mouseHandler(this.id, thisId, thisGroup, "marker_mouseout", extraInfo), this);
marker.on("dragend", mouseHandler(this.id, thisId, thisGroup, "marker_dragend", extraInfo), this);
}).call(_this3);
}
};
for (var i = 0; i < df.nrow(); i++) {
_loop2(i);
}
if (cluster) {
this.layerManager.addLayer(clusterGroup, "cluster", clusterId, group);
}
}).call(map);
}
methods.addGenericMarkers = addMarkers;
methods.addMarkers = function (lat, lng, icon, layerId, group, options, popup, popupOptions, clusterOptions, clusterId, label, labelOptions, crosstalkOptions) {
var icondf;
var getIcon;
if (icon) {
// Unpack icons
icon.iconUrl = unpackStrings(icon.iconUrl);
icon.iconRetinaUrl = unpackStrings(icon.iconRetinaUrl);
icon.shadowUrl = unpackStrings(icon.shadowUrl);
icon.shadowRetinaUrl = unpackStrings(icon.shadowRetinaUrl); // This cbinds the icon URLs and any other icon options; they're all
// present on the icon object.
icondf = new _dataframe2["default"]().cbind(icon); // Constructs an icon from a specified row of the icon dataframe.
getIcon = function getIcon(i) {
var opts = icondf.get(i);
if (!opts.iconUrl) {
return new _leaflet2["default"].Icon.Default();
} // Composite options (like points or sizes) are passed from R with each
// individual component as its own option. We need to combine them now
// into their composite form.
if (opts.iconWidth) {
opts.iconSize = [opts.iconWidth, opts.iconHeight];
}
if (opts.shadowWidth) {
opts.shadowSize = [opts.shadowWidth, opts.shadowHeight];
}
if (opts.iconAnchorX) {
opts.iconAnchor = [opts.iconAnchorX, opts.iconAnchorY];
}
if (opts.shadowAnchorX) {
opts.shadowAnchor = [opts.shadowAnchorX, opts.shadowAnchorY];
}
if (opts.popupAnchorX) {
opts.popupAnchor = [opts.popupAnchorX, opts.popupAnchorY];
}
return new _leaflet2["default"].Icon(opts);
};
}
if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).cbind(options).cbind(crosstalkOptions || {});
if (icon) icondf.effectiveLength = df.nrow();
addMarkers(this, df, group, clusterOptions, clusterId, function (df, i) {
var options = df.get(i);
if (icon) options.icon = getIcon(i);
return _leaflet2["default"].marker([df.get(i, "lat"), df.get(i, "lng")], options);
});
}
};
methods.addAwesomeMarkers = function (lat, lng, icon, layerId, group, options, popup, popupOptions, clusterOptions, clusterId, label, labelOptions, crosstalkOptions) {
var icondf;
var getIcon;
if (icon) {
// This cbinds the icon URLs and any other icon options; they're all
// present on the icon object.
icondf = new _dataframe2["default"]().cbind(icon); // Constructs an icon from a specified row of the icon dataframe.
getIcon = function getIcon(i) {
var opts = icondf.get(i);
if (!opts) {
return new _leaflet2["default"].AwesomeMarkers.icon();
}
if (opts.squareMarker) {
opts.className = "awesome-marker awesome-marker-square";
}
return new _leaflet2["default"].AwesomeMarkers.icon(opts);
};
}
if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).cbind(options).cbind(crosstalkOptions || {});
if (icon) icondf.effectiveLength = df.nrow();
addMarkers(this, df, group, clusterOptions, clusterId, function (df, i) {
var options = df.get(i);
if (icon) options.icon = getIcon(i);
return _leaflet2["default"].marker([df.get(i, "lat"), df.get(i, "lng")], options);
});
}
};
function addLayers(map, category, df, layerFunc) {
var _loop3 = function _loop3(i) {
(function () {
var layer = layerFunc(df, i);
if (!_jquery2["default"].isEmptyObject(layer)) {
var thisId = df.get(i, "layerId");
var thisGroup = df.get(i, "group");
this.layerManager.addLayer(layer, category, thisId, thisGroup, df.get(i, "ctGroup", true), df.get(i, "ctKey", true));
if (layer.bindPopup) {
var popup = df.get(i, "popup");
var popupOptions = df.get(i, "popupOptions");
if (popup !== null) {
if (popupOptions !== null) {
layer.bindPopup(popup, popupOptions);
} else {
layer.bindPopup(popup);
}
}
}
if (layer.bindTooltip) {
var label = df.get(i, "label");
var labelOptions = df.get(i, "labelOptions");
if (label !== null) {
if (labelOptions !== null) {
layer.bindTooltip(label, labelOptions);
} else {
layer.bindTooltip(label);
}
}
}
layer.on("click", mouseHandler(this.id, thisId, thisGroup, category + "_click"), this);
layer.on("mouseover", mouseHandler(this.id, thisId, thisGroup, category + "_mouseover"), this);
layer.on("mouseout", mouseHandler(this.id, thisId, thisGroup, category + "_mouseout"), this);
var highlightStyle = df.get(i, "highlightOptions");
if (!_jquery2["default"].isEmptyObject(highlightStyle)) {
var defaultStyle = {};
_jquery2["default"].each(highlightStyle, function (k, v) {
if (k != "bringToFront" && k != "sendToBack") {
if (df.get(i, k)) {
defaultStyle[k] = df.get(i, k);
}
}
});
layer.on("mouseover", function (e) {
this.setStyle(highlightStyle);
if (highlightStyle.bringToFront) {
this.bringToFront();
}
});
layer.on("mouseout", function (e) {
this.setStyle(defaultStyle);
if (highlightStyle.sendToBack) {
this.bringToBack();
}
});
}
}
}).call(map);
};
for (var i = 0; i < df.nrow(); i++) {
_loop3(i);
}
}
methods.addGenericLayers = addLayers;
methods.addCircles = function (lat, lng, radius, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions, crosstalkOptions) {
if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("radius", radius).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options).cbind(crosstalkOptions || {});
addLayers(this, "shape", df, function (df, i) {
if (_jquery2["default"].isNumeric(df.get(i, "lat")) && _jquery2["default"].isNumeric(df.get(i, "lng")) && _jquery2["default"].isNumeric(df.get(i, "radius"))) {
return _leaflet2["default"].circle([df.get(i, "lat"), df.get(i, "lng")], df.get(i, "radius"), df.get(i));
} else {
return null;
}
});
}
};
methods.addCircleMarkers = function (lat, lng, radius, layerId, group, options, clusterOptions, clusterId, popup, popupOptions, label, labelOptions, crosstalkOptions) {
if (!(_jquery2["default"].isEmptyObject(lat) || _jquery2["default"].isEmptyObject(lng)) || _jquery2["default"].isNumeric(lat) && _jquery2["default"].isNumeric(lng)) {
var df = new _dataframe2["default"]().col("lat", lat).col("lng", lng).col("radius", radius).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).cbind(crosstalkOptions || {}).cbind(options);
addMarkers(this, df, group, clusterOptions, clusterId, function (df, i) {
return _leaflet2["default"].circleMarker([df.get(i, "lat"), df.get(i, "lng")], df.get(i));
});
}
};
/*
* @param lat Array of arrays of latitude coordinates for polylines
* @param lng Array of arrays of longitude coordinates for polylines
*/
methods.addPolylines = function (polygons, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions) {
if (polygons.length > 0) {
var df = new _dataframe2["default"]().col("shapes", polygons).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options);
addLayers(this, "shape", df, function (df, i) {
var shapes = df.get(i, "shapes");
shapes = shapes.map(function (shape) {
return _htmlwidgets2["default"].dataframeToD3(shape[0]);
});
if (shapes.length > 1) {
return _leaflet2["default"].polyline(shapes, df.get(i));
} else {
return _leaflet2["default"].polyline(shapes[0], df.get(i));
}
});
}
};
methods.removeMarker = function (layerId) {
this.layerManager.removeLayer("marker", layerId);
};
methods.clearMarkers = function () {
this.layerManager.clearLayers("marker");
};
methods.removeMarkerCluster = function (layerId) {
this.layerManager.removeLayer("cluster", layerId);
};
methods.removeMarkerFromCluster = function (layerId, clusterId) {
var cluster = this.layerManager.getLayer("cluster", clusterId);
if (!cluster) return;
cluster.clusterLayerStore.remove(layerId);
};
methods.clearMarkerClusters = function () {
this.layerManager.clearLayers("cluster");
};
methods.removeShape = function (layerId) {
this.layerManager.removeLayer("shape", layerId);
};
methods.clearShapes = function () {
this.layerManager.clearLayers("shape");
};
methods.addRectangles = function (lat1, lng1, lat2, lng2, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions) {
var df = new _dataframe2["default"]().col("lat1", lat1).col("lng1", lng1).col("lat2", lat2).col("lng2", lng2).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options);
addLayers(this, "shape", df, function (df, i) {
if (_jquery2["default"].isNumeric(df.get(i, "lat1")) && _jquery2["default"].isNumeric(df.get(i, "lng1")) && _jquery2["default"].isNumeric(df.get(i, "lat2")) && _jquery2["default"].isNumeric(df.get(i, "lng2"))) {
return _leaflet2["default"].rectangle([[df.get(i, "lat1"), df.get(i, "lng1")], [df.get(i, "lat2"), df.get(i, "lng2")]], df.get(i));
} else {
return null;
}
});
};
/*
* @param lat Array of arrays of latitude coordinates for polygons
* @param lng Array of arrays of longitude coordinates for polygons
*/
methods.addPolygons = function (polygons, layerId, group, options, popup, popupOptions, label, labelOptions, highlightOptions) {
if (polygons.length > 0) {
var df = new _dataframe2["default"]().col("shapes", polygons).col("layerId", layerId).col("group", group).col("popup", popup).col("popupOptions", popupOptions).col("label", label).col("labelOptions", labelOptions).col("highlightOptions", highlightOptions).cbind(options);
addLayers(this, "shape", df, function (df, i) {
// This code used to use L.multiPolygon, but that caused
// double-click on a multipolygon to fail to zoom in on the
// map. Surprisingly, putting all the rings in a single
// polygon seems to still work; complicated multipolygons
// are still rendered correctly.
var shapes = df.get(i, "shapes").map(function (polygon) {
return polygon.map(_htmlwidgets2["default"].dataframeToD3);
}).reduce(function (acc, val) {
return acc.concat(val);
}, []);
return _leaflet2["default"].polygon(shapes, df.get(i));
});
}
};
methods.addGeoJSON = function (data, layerId, group, style) {
// This time, self is actually needed because the callbacks below need
// to access both the inner and outer senses of "this"
var self = this;
if (typeof data === "string") {
data = JSON.parse(data);
}
var globalStyle = _jquery2["default"].extend({}, style, data.style || {});
var gjlayer = _leaflet2["default"].geoJson(data, {
style: function style(feature) {
if (feature.style || feature.properties.style) {
return _jquery2["default"].extend({}, globalStyle, feature.style, feature.properties.style);
} else {
return globalStyle;
}
},
onEachFeature: function onEachFeature(feature, layer) {
var extraInfo = {
featureId: feature.id,
properties: feature.properties
};
var popup = feature.properties ? feature.properties.popup : null;
if (typeof popup !== "undefined" && popup !== null) layer.bindPopup(popup);
layer.on("click", mouseHandler(self.id, layerId, group, "geojson_click", extraInfo), this);
layer.on("mouseover", mouseHandler(self.id, layerId, group, "geojson_mouseover", extraInfo), this);
layer.on("mouseout", mouseHandler(self.id, layerId, group, "geojson_mouseout", extraInfo), this);
}
});
this.layerManager.addLayer(gjlayer, "geojson", layerId, group);
};
methods.removeGeoJSON = function (layerId) {
this.layerManager.removeLayer("geojson", layerId);
};
methods.clearGeoJSON = function () {
this.layerManager.clearLayers("geojson");
};
methods.addTopoJSON = function (data, layerId, group, style) {
// This time, self is actually needed because the callbacks below need
// to access both the inner and outer senses of "this"
var self = this;
if (typeof data === "string") {
data = JSON.parse(data);
}
var globalStyle = _jquery2["default"].extend({}, style, data.style || {});
var gjlayer = _leaflet2["default"].geoJson(null, {
style: function style(feature) {
if (feature.style || feature.properties.style) {
return _jquery2["default"].extend({}, globalStyle, feature.style, feature.properties.style);
} else {
return globalStyle;
}
},
onEachFeature: function onEachFeature(feature, layer) {
var extraInfo = {
featureId: feature.id,
properties: feature.properties
};
var popup = feature.properties.popup;
if (typeof popup !== "undefined" && popup !== null) layer.bindPopup(popup);
layer.on("click", mouseHandler(self.id, layerId, group, "topojson_click", extraInfo), this);
layer.on("mouseover", mouseHandler(self.id, layerId, group, "topojson_mouseover", extraInfo), this);
layer.on("mouseout", mouseHandler(self.id, layerId, group, "topojson_mouseout", extraInfo), this);
}
});
global.omnivore.topojson.parse(data, null, gjlayer);
this.layerManager.addLayer(gjlayer, "topojson", layerId, group);
};
methods.removeTopoJSON = function (layerId) {
this.layerManager.removeLayer("topojson", layerId);
};
methods.clearTopoJSON = function () {
this.layerManager.clearLayers("topojson");
};
methods.addControl = function (html, position, layerId, classes) {
function onAdd(map) {
var div = _leaflet2["default"].DomUtil.create("div", classes);
if (typeof layerId !== "undefined" && layerId !== null) {
div.setAttribute("id", layerId);
}
this._div = div; // It's possible for window.Shiny to be true but Shiny.initializeInputs to
// not be, when a static leaflet widget is included as part of the shiny
// UI directly (not through leafletOutput or uiOutput). In this case we
// don't do the normal Shiny stuff as that will all happen when Shiny
// itself loads and binds the entire doc.
if (window.Shiny && _shiny2["default"].initializeInputs) {
_shiny2["default"].renderHtml(html, this._div);
_shiny2["default"].initializeInputs(this._div);
_shiny2["default"].bindAll(this._div);
} else {
this._div.innerHTML = html;
}
return this._div;
}
function onRemove(map) {
if (window.Shiny && _shiny2["default"].unbindAll) {
_shiny2["default"].unbindAll(this._div);
}
}
var Control = _leaflet2["default"].Control.extend({
options: {
position: position
},
onAdd: onAdd,
onRemove: onRemove
});
this.controls.add(new Control(), layerId, html);
};
methods.addCustomControl = function (control, layerId) {
this.controls.add(control, layerId);
};
methods.removeControl = function (layerId) {
this.controls.remove(layerId);
};
methods.getControl = function (layerId) {
this.controls.get(layerId);
};
methods.clearControls = function () {
this.controls.clear();
};
methods.addLegend = function (options) {
var legend = _leaflet2["default"].control({
position: options.position
});
var gradSpan;
legend.onAdd = function (map) {
var div = _leaflet2["default"].DomUtil.create("div", options.className),
colors = options.colors,
labels = options.labels,
legendHTML = "";
if (options.type === "numeric") {
// # Formatting constants.
var singleBinHeight = 20; // The distance between tick marks, in px
var vMargin = 8; // If 1st tick mark starts at top of gradient, how
// many extra px are needed for the top half of the
// 1st label? (ditto for last tick mark/label)
var tickWidth = 4; // How wide should tick marks be, in px?
var labelPadding = 6; // How much distance to reserve for tick mark?
// (Must be >= tickWidth)
// # Derived formatting parameters.
// What's the height of a single bin, in percentage (of gradient height)?
// It might not just be 1/(n-1), if the gradient extends past the tick
// marks (which can be the case for pretty cut points).
var singleBinPct = (options.extra.p_n - options.extra.p_1) / (labels.length - 1); // Each bin is `singleBinHeight` high. How tall is the gradient?
var totalHeight = 1 / singleBinPct * singleBinHeight + 1; // How far should the first tick be shifted down, relative to the top
// of the gradient?
var tickOffset = singleBinHeight / singleBinPct * options.extra.p_1;
gradSpan = (0, _jquery2["default"])("<span/>").css({
"background": "linear-gradient(" + colors + ")",
"opacity": options.opacity,
"height": totalHeight + "px",
"width": "18px",
"display": "block",
"margin-top": vMargin + "px"
});
var leftDiv = (0, _jquery2["default"])("<div/>").css("float", "left"),
rightDiv = (0, _jquery2["default"])("<div/>").css("float", "left");
leftDiv.append(gradSpan);
(0, _jquery2["default"])(div).append(leftDiv).append(rightDiv).append((0, _jquery2["default"])("<br>")); // Have to attach the div to the body at this early point, so that the
// svg text getComputedTextLength() actually works, below.
document.body.appendChild(div);
var ns = "http://www.w3.org/2000/svg";
var svg = document.createElementNS(ns, "svg");
rightDiv.append(svg);
var g = document.createElementNS(ns, "g");
(0, _jquery2["default"])(g).attr("transform", "translate(0, " + vMargin + ")");
svg.appendChild(g); // max label width needed to set width of svg, and right-justify text
var maxLblWidth = 0; // Create tick marks and labels
_jquery2["default"].each(labels, function (i, label) {
var y = tickOffset + i * singleBinHeight + 0.5;
var thisLabel = document.createElementNS(ns, "text");
(0, _jquery2["default"])(thisLabel).text(labels[i]).attr("y", y).attr("dx", labelPadding).attr("dy", "0.5ex");
g.appendChild(thisLabel);
maxLblWidth = Math.max(maxLblWidth, thisLabel.getComputedTextLength());
var thisTick = document.createElementNS(ns, "line");
(0, _jquery2["default"])(thisTick).attr("x1", 0).attr("x2", tickWidth).attr("y1", y).attr("y2", y).attr("stroke-width", 1);
g.appendChild(thisTick);
}); // Now that we know the max label width, we can right-justify
(0, _jquery2["default"])(svg).find("text").attr("dx", labelPadding + maxLblWidth).attr("text-anchor", "end"); // Final size for <svg>
(0, _jquery2["default"])(svg).css({
width: maxLblWidth + labelPadding + "px",
height: totalHeight + vMargin * 2 + "px"
});
if (options.na_color && _jquery2["default"].inArray(options.na_label, labels) < 0) {
(0, _jquery2["default"])(div).append("<div><i style=\"" + "background:" + options.na_color + ";opacity:" + options.opacity + ";margin-right:" + labelPadding + "px" + ";\"></i>" + options.na_label + "</div>");
}
} else {
if (options.na_color && _jquery2["default"].inArray(options.na_label, labels) < 0) {
colors.push(options.na_color);
labels.push(options.na_label);
}
for (var i = 0; i < colors.length; i++) {
legendHTML += "<i style=\"background:" + colors[i] + ";opacity:" + options.opacity + "\"></i> " + labels[i] + "<br>";
}
div.innerHTML = legendHTML;
}
if (options.title) (0, _jquery2["default"])(div).prepend("<div style=\"margin-bottom:3px\"><strong>" + options.title + "</strong></div>");
return div;
};
if (options.group) {
// Auto generate a layerID if not provided
if (!options.layerId) {
options.layerId = _leaflet2["default"].Util.stamp(legend);
}
var map = this;
map.on("overlayadd", function (e) {
if (e.name === options.group) {
map.controls.add(legend, options.layerId);
}
});
map.on("overlayremove", function (e) {
if (e.name === options.group) {
map.controls.remove(options.layerId);
}
});
map.on("groupadd", function (e) {
if (e.name === options.group) {
map.controls.add(legend, options.layerId);
}
});
map.on("groupremove", function (e) {
if (e.name === options.group) {
map.controls.remove(options.layerId);
}
});
}
this.controls.add(legend, options.layerId);
};
methods.addLayersControl = function (baseGroups, overlayGroups, options) {
var _this4 = this;
// Only allow one layers control at a time
methods.removeLayersControl.call(this);
var firstLayer = true;
var base = {};
_jquery2["default"].each((0, _util.asArray)(baseGroups), function (i, g) {
var layer = _this4.layerManager.getLayerGroup(g, true);
if (layer) {
base[g] = layer; // Check if >1 base layers are visible; if so, hide all but the first one
if (_this4.hasLayer(layer)) {
if (firstLayer) {
firstLayer = false;
} else {
_this4.removeLayer(layer);
}
}
}
});
var overlay = {};
_jquery2["default"].each((0, _util.asArray)(overlayGroups), function (i, g) {
var layer = _this4.layerManager.getLayerGroup(g, true);
if (layer) {
overlay[g] = layer;
}
});
this.currentLayersControl = _leaflet2["default"].control.layers(base, overlay, options);
this.addControl(this.currentLayersControl);
};
methods.removeLayersControl = function () {
if (this.currentLayersControl) {
this.removeControl(this.currentLayersControl);
this.currentLayersControl = null;
}
};
methods.addScaleBar = function (options) {
// Only allow one scale bar at a time
methods.removeScaleBar.call(this);
var scaleBar = _leaflet2["default"].control.scale(options).addTo(this);
this.currentScaleBar = scaleBar;
};
methods.removeScaleBar = function () {
if (this.currentScaleBar) {
this.currentScaleBar.remove();
this.currentScaleBar = null;
}
};
methods.hideGroup = function (group) {
var _this5 = this;
_jquery2["default"].each((0, _util.asArray)(group), function (i, g) {
var layer = _this5.layerManager.getLayerGroup(g, true);
if (layer) {
_this5.removeLayer(layer);
}
});
};
methods.showGroup = function (group) {
var _this6 = this;
_jquery2["default"].each((0, _util.asArray)(group), function (i, g) {
var layer = _this6.layerManager.getLayerGroup(g, true);
if (layer) {
_this6.addLayer(layer);
}
});
};
function setupShowHideGroupsOnZoom(map) {
if (map.leafletr._hasInitializedShowHideGroups) {
return;
}
map.leafletr._hasInitializedShowHideGroups = true;
function setVisibility(layer, visible, group) {
if (visible !== map.hasLayer(layer)) {
if (visible) {
map.addLayer(layer);
map.fire("groupadd", {
"name": group,
"layer": layer
});
} else {
map.removeLayer(layer);
map.fire("groupremove", {
"name": group,
"layer": layer
});
}
}
}
function showHideGroupsOnZoom() {
if (!map.layerManager) return;
var zoom = map.getZoom();
map.layerManager.getAllGroupNames().forEach(function (group) {
var layer = map.layerManager.getLayerGroup(group, false);
if (layer && typeof layer.zoomLevels !== "undefined") {
setVisibility(layer, layer.zoomLevels === true || layer.zoomLevels.indexOf(zoom) >= 0, group);
}
});
}
map.showHideGroupsOnZoom = showHideGroupsOnZoom;
map.on("zoomend", showHideGroupsOnZoom);
}
methods.setGroupOptions = function (group, options) {
var _this7 = this;
_jquery2["default"].each((0, _util.asArray)(group), function (i, g) {
var layer = _this7.layerManager.getLayerGroup(g, true); // This slightly tortured check is because 0 is a valid value for zoomLevels
if (typeof options.zoomLevels !== "undefined" && options.zoomLevels !== null) {
layer.zoomLevels = (0, _util.asArray)(options.zoomLevels);
}
});
setupShowHideGroupsOnZoom(this);
this.showHideGroupsOnZoom();
};
methods.addRasterImage = function (uri, bounds, opacity, attribution, layerId, group) {
// uri is a data URI containing an image. We want to paint this image as a
// layer at (top-left) bounds[0] to (bottom-right) bounds[1].
// We can't simply use ImageOverlay, as it uses bilinear scaling which looks
// awful as you zoom in (and sometimes shifts positions or disappears).
// Instead, we'll use a TileLayer.Canvas to draw pieces of the image.
// First, some helper functions.
// degree2tile converts latitude, longitude, and zoom to x and y tile
// numbers. The tile numbers returned can be non-integral, as there's no
// reason to expect that the lat/lng inputs are exactly on the border of two
// tiles.
//
// We'll use this to convert the bounds we got from the server, into coords
// in tile-space at a given zoom level. Note that once we do the conversion,
// we don't to do any more trigonometry to convert between pixel coordinates
// and tile coordinates; the source image pixel coords, destination canvas
// pixel coords, and tile coords all can be scaled linearly.
function degree2tile(lat, lng, zoom) {
// See http://wiki.openstreetmap.org/wiki/Slippy_map_tilenames
var latRad = lat * Math.PI / 180;
var n = Math.pow(2, zoom);
var x = (lng + 180) / 360 * n;
var y = (1 - Math.log(Math.tan(latRad) + 1 / Math.cos(latRad)) / Math.PI) / 2 * n;
return {
x: x,
y: y
};
} // Given a range [from,to) and either one or two numbers, returns true if
// there is any overlap between [x,x1) and the range--or if x1 is omitted,
// then returns true if x is within [from,to).
function overlap(from, to, x,
/* optional */
x1) {
if (arguments.length == 3) x1 = x;
return x < to && x1 >= from;
}
function getCanvasSmoothingProperty(ctx) {
var candidates = ["imageSmoothingEnabled", "mozImageSmoothingEnabled", "webkitImageSmoothingEnabled", "msImageSmoothingEnabled"];
for (var i = 0; i < candidates.length; i++) {
if (typeof ctx[candidates[i]] !== "undefined") {
return candidates[i];
}
}
return null;
} // Our general strategy is to:
// 1. Load the data URI in an Image() object, so we can get its pixel
// dimensions and the underlying image data. (We could have done this
// by not encoding as PNG at all but just send an array of RGBA values
// from the server, but that would inflate the JSON too much.)
// 2. Create a hidden canvas that we use just to extract the image data
// from the Image (using Context2D.getImageData()).
// 3. Create a TileLayer.Canvas and add it to the map.
// We want to synchronously create and attach the TileLayer.Canvas (so an
// immediate call to clearRasters() will be respected, for example), but
// Image loads its data asynchronously. Fortunately we can resolve this
// by putting TileLayer.Canvas into async mode, which will let us create
// and attach the layer but have it wait until the image is loaded before
// it actually draws anything.
// These are the variables that we will populate once the image is loaded.
var imgData = null; // 1d row-major array, four [0-255] integers per pixel
var imgDataMipMapper = null;
var w = null; // image width in pixels
var h = null; // image height in pixels
// We'll use this array to store callbacks that need to be invoked once
// imgData, w, and h have been resolved.
var imgDataCallbacks = []; // Consumers of imgData, w, and h can call this to be notified when data
// is available.
function getImageData(callback) {
if (imgData != null) {
// Must not invoke the callback immediately; it's too confusing and
// fragile to have a function invoke the callback *either* immediately
// or in the future. Better to be consistent here.
setTimeout(function () {
callback(imgData, w, h, imgDataMipMapper);
}, 0);
} else {
imgDataCallbacks.push(callback);
}
}
var img = new Image();
img.onload = function () {
// Save size
w = img.width;
h = img.height; // Create a dummy canvas to extract the image data
var imgDataCanvas = document.createElement("canvas");
imgDataCanvas.width = w;
imgDataCanvas.height = h;
imgDataCanvas.style.display = "none";
document.body.appendChild(imgDataCanvas);
var imgDataCtx = imgDataCanvas.getContext("2d");
imgDataCtx.drawImage(img, 0, 0); // Save the image data.
imgData = imgDataCtx.getImageData(0, 0, w, h).data;
imgDataMipMapper = new _mipmapper2["default"](img); // Done with the canvas, remove it from the page so it can be gc'd.
document.body.removeChild(imgDataCanvas); // Alert any getImageData callers who are waiting.
for (var i = 0; i < imgDataCallbacks.length; i++) {
imgDataCallbacks[i](imgData, w, h, imgDataMipMapper);
}
imgDataCallbacks = [];
};
img.src = uri;
var canvasTiles = _leaflet2["default"].gridLayer({
opacity: opacity,
attribution: attribution,
detectRetina: true,
async: true
}); // NOTE: The done() function MUST NOT be invoked until after the current
// tick; done() looks in Leaflet's tile cache for the current tile, and
// since it's still being constructed, it won't be found.
canvasTiles.createTile = function (tilePoint, done) {
var zoom = tilePoint.z;
var canvas = _leaflet2["default"].DomUtil.create("canvas");
var error; // setup tile width and height according to the options
var size = this.getTileSize();
canvas.width = size.x;
canvas.height = size.y;
getImageData(function (imgData, w, h, mipmapper) {
try {
// The Context2D we'll being drawing onto. It's always 256x256.
var ctx = canvas.getContext("2d"); // Convert our image data's top-left and bottom-right locations into
// x/y tile coordinates. This is essentially doing a spherical mercator
// projection, then multiplying by 2^zoom.
var topLeft = degree2tile(bounds[0][0], bounds[0][1], zoom);
var bottomRight = degree2tile(bounds[1][0], bounds[1][1], zoom); // The size of the image in x/y tile coordinates.
var extent = {
x: bottomRight.x - topLeft.x,
y: bottomRight.y - topLeft.y
}; // Short circuit if tile is totally disjoint from image.
if (!overlap(tilePoint.x, tilePoint.x + 1, topLeft.x, bottomRight.x)) return;
if (!overlap(tilePoint.y, tilePoint.y + 1, topLeft.y, bottomRight.y)) return; // The linear resolution of the tile we're drawing is always 256px per tile unit.
// If the linear resolution (in either direction) of the image is less than 256px
// per tile unit, then use nearest neighbor; otherwise, use the canvas's built-in
// scaling.
var imgRes = {
x: w / extent.x,
y: h / extent.y
}; // We can do the actual drawing in one of three ways:
// - Call drawImage(). This is easy and fast, and results in smooth
// interpolation (bilinear?). This is what we want when we are
// reducing the image from its native size.
// - Call drawImage() with imageSmoothingEnabled=false. This is easy
// and fast and gives us nearest-neighbor interpolation, which is what
// we want when enlarging the image. However, it's unsupported on many
// browsers (including QtWebkit).
// - Do a manual nearest-neighbor interpolation. This is what we'll fall
// back to when enlarging, and imageSmoothingEnabled isn't supported.
// In theory it's slower, but still pretty fast on my machine, and the
// results look the same AFAICT.
// Is imageSmoothingEnabled supported? If so, we can let canvas do
// nearest-neighbor interpolation for us.
var smoothingProperty = getCanvasSmoothingProperty(ctx);
if (smoothingProperty || imgRes.x >= 256 && imgRes.y >= 256) {
// Use built-in scaling
// Turn off anti-aliasing if necessary
if (smoothingProperty) {
ctx[smoothingProperty] = imgRes.x >= 256 && imgRes.y >= 256;
} // Don't necessarily draw with the full-size image; if we're
// downscaling, use the mipmapper to get a pre-downscaled image
// (see comments on Mipmapper class for why this matters).
mipmapper.getBySize(extent.x * 256, extent.y * 256, function (mip) {
// It's possible that the image will go off the edge of the canvas--
// that's OK, the canvas should clip appropriately.
ctx.drawImage(mip, // Convert abs tile coords to rel tile coords, then *256 to convert
// to rel pixel coords
(topLeft.x - tilePoint.x) * 256, (topLeft.y - tilePoint.y) * 256, // Always draw the whole thing and let canvas clip; so we can just
// convert from size in tile coords straight to pixels
extent.x * 256, extent.y * 256);
});
} else {
// Use manual nearest-neighbor interpolation
// Calculate the source image pixel coordinates that correspond with
// the top-left and bottom-right of this tile. (If the source image
// only partially overlaps the tile, we use max/min to limit the
// sourceStart/End to only reflect the overlapping portion.)
var sourceStart = {
x: Math.max(0, Math.floor((tilePoint.x - topLeft.x) * imgRes.x)),
y: Math.max(0, Math.floor((tilePoint.y - topLeft.y) * imgRes.y))
};
var sourceEnd = {
x: Math.min(w, Math.ceil((tilePoint.x + 1 - topLeft.x) * imgRes.x)),
y: Math.min(h, Math.ceil((tilePoint.y + 1 - topLeft.y) * imgRes.y))
}; // The size, in dest pixels, that each source pixel should occupy.
// This might be greater or less than 1 (e.g. if x and y resolution
// are very different).
var pixelSize = {
x: 256 / imgRes.x,
y: 256 / imgRes.y
}; // For each pixel in the source image that overlaps the tile...
for (var row = sourceStart.y; row < sourceEnd.y; row++) {
for (var col = sourceStart.x; col < sourceEnd.x; col++) {
// ...extract the pixel data...
var i = (row * w + col) * 4;
var r = imgData[i];
var g = imgData[i + 1];
var b = imgData[i + 2];
var a = imgData[i + 3];
ctx.fillStyle = "rgba(" + [r, g, b, a / 255].join(",") + ")"; // ...calculate the corresponding pixel coord in the dest image
// where it should be drawn...
var pixelPos = {
x: (col / imgRes.x + topLeft.x - tilePoint.x) * 256,
y: (row / imgRes.y + topLeft.y - tilePoint.y) * 256
}; // ...and draw a rectangle there.
ctx.fillRect(Math.round(pixelPos.x), Math.round(pixelPos.y), // Looks crazy, but this is necessary to prevent rounding from
// causing overlap between this rect and its neighbors. The
// minuend is the location of the next pixel, while the
// subtrahend is the position of the current pixel (to turn an
// absolute coordinate to a width/height). Yes, I had to look
// up minuend and subtrahend.
Math.round(pixelPos.x + pixelSize.x) - Math.round(pixelPos.x), Math.round(pixelPos.y + pixelSize.y) - Math.round(pixelPos.y));
}
}
}
} catch (e) {
error = e;
} finally {
done(error, canvas);
}
});
return canvas;
};
this.layerManager.addLayer(canvasTiles, "image", layerId, group);
};
methods.removeImage = function (layerId) {
this.layerManager.removeLayer("image", layerId);
};
methods.clearImages = function () {
this.layerManager.clearLayers("image");
};
methods.addMeasure = function (options) {
// if a measureControl already exists, then remove it and
// replace with a new one
methods.removeMeasure.call(this);
this.measureControl = _leaflet2["default"].control.measure(options);
this.addControl(this.measureControl);
};
methods.removeMeasure = function () {
if (this.measureControl) {
this.removeControl(this.measureControl);
this.measureControl = null;
}
};
methods.addSelect = function (ctGroup) {
var _this8 = this;
methods.removeSelect.call(this);
this._selectButton = _leaflet2["default"].easyButton({
states: [{
stateName: "select-inactive",
icon: "ion-qr-scanner",
title: "Make a selection",
onClick: function onClick(btn, map) {
btn.state("select-active");
_this8._locationFilter = new _leaflet2["default"].LocationFilter2();
if (ctGroup) {
var selectionHandle = new global.crosstalk.SelectionHandle(ctGroup);
selectionHandle.on("change", function (e) {
if (e.sender !== selectionHandle) {
if (_this8._locationFilter) {
_this8._locationFilter.disable();
btn.state("select-inactive");
}
}
});
var handler = function handler(e) {
_this8.layerManager.brush(_this8._locationFilter.getBounds(), {
sender: selectionHandle
});
};
_this8._locationFilter.on("enabled", handler);
_this8._locationFilter.on("change", handler);
_this8._locationFilter.on("disabled", function () {
selectionHandle.close();
_this8._locationFilter = null;
});
}
_this8._locationFilter.addTo(map);
}
}, {
stateName: "select-active",
icon: "ion-close-round",
title: "Dismiss selection",
onClick: function onClick(btn, map) {
btn.state("select-inactive");
_this8._locationFilter.disable(); // If explicitly dismissed, clear the crosstalk selections
_this8.layerManager.unbrush();
}
}]
});
this._selectButton.addTo(this);
};
methods.removeSelect = function () {
if (this._locationFilter) {
this._locationFilter.disable();
}
if (this._selectButton) {
this.removeControl(this._selectButton);
this._selectButton = null;
}
};
methods.createMapPane = function (name, zIndex) {
this.createPane(name);
this.getPane(name).style.zIndex = zIndex;
};
}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
},{"./cluster-layer-store":1,"./crs_utils":3,"./dataframe":4,"./global/htmlwidgets":8,"./global/jquery":9,"./global/leaflet":10,"./global/shiny":12,"./mipmapper":16,"./util":17}],16:[function(require,module,exports){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
function _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }
function _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }
// This class simulates a mipmap, which shrinks images by powers of two. This
// stepwise reduction results in "pixel-perfect downscaling" (where every
// pixel of the original image has some contribution to the downscaled image)
// as opposed to a single-step downscaling which will discard a lot of data
// (and with sparse images at small scales can give very surprising results).
var Mipmapper = /*#__PURE__*/function () {
function Mipmapper(img) {
_classCallCheck(this, Mipmapper);
this._layers = [img];
} // The various functions on this class take a callback function BUT MAY OR MAY
// NOT actually behave asynchronously.
_createClass(Mipmapper, [{
key: "getBySize",
value: function getBySize(desiredWidth, desiredHeight, callback) {
var _this = this;
var i = 0;
var lastImg = this._layers[0];
var testNext = function testNext() {
_this.getByIndex(i, function (img) {
// If current image is invalid (i.e. too small to be rendered) or
// it's smaller than what we wanted, return the last known good image.
if (!img || img.width < desiredWidth || img.height < desiredHeight) {
callback(lastImg);
return;
} else {
lastImg = img;
i++;
testNext();
return;
}
});
};
testNext();
}
}, {
key: "getByIndex",
value: function getByIndex(i, callback) {
var _this2 = this;
if (this._layers[i]) {
callback(this._layers[i]);
return;
}
this.getByIndex(i - 1, function (prevImg) {
if (!prevImg) {
// prevImg could not be calculated (too small, possibly)
callback(null);
return;
}
if (prevImg.width < 2 || prevImg.height < 2) {
// Can't reduce this image any further
callback(null);
return;
} // If reduce ever becomes truly asynchronous, we should stuff a promise or
// something into this._layers[i] before calling this.reduce(), to prevent
// redundant reduce operations from happening.
_this2.reduce(prevImg, function (reducedImg) {
_this2._layers[i] = reducedImg;
callback(reducedImg);
return;
});
});
}
}, {
key: "reduce",
value: function reduce(img, callback) {
var imgDataCanvas = document.createElement("canvas");
imgDataCanvas.width = Math.ceil(img.width / 2);
imgDataCanvas.height = Math.ceil(img.height / 2);
imgDataCanvas.style.display = "none";
document.body.appendChild(imgDataCanvas);
try {
var imgDataCtx = imgDataCanvas.getContext("2d");
imgDataCtx.drawImage(img, 0, 0, img.width / 2, img.height / 2);
callback(imgDataCanvas);
} finally {
document.body.removeChild(imgDataCanvas);
}
}
}]);
return Mipmapper;
}();
exports["default"] = Mipmapper;
},{}],17:[function(require,module,exports){
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports.log = log;
exports.recycle = recycle;
exports.asArray = asArray;
function log(message) {
/* eslint-disable no-console */
if (console && console.log) console.log(message);
/* eslint-enable no-console */
}
function recycle(values, length, inPlace) {
if (length === 0 && !inPlace) return [];
if (!(values instanceof Array)) {
if (inPlace) {
throw new Error("Can't do in-place recycling of a non-Array value");
}
values = [values];
}
if (typeof length === "undefined") length = values.length;
var dest = inPlace ? values : [];
var origLength = values.length;
while (dest.length < length) {
dest.push(values[dest.length % origLength]);
}
if (dest.length > length) {
dest.splice(length, dest.length - length);
}
return dest;
}
function asArray(value) {
if (value instanceof Array) return value;else return [value];
}
},{}]},{},[13]);
</script>
<script>(function (root, factory) {
if (typeof define === 'function' && define.amd) {
// AMD. Register as an anonymous module.
define(['leaflet'], factory);
} else if (typeof modules === 'object' && module.exports) {
// define a Common JS module that relies on 'leaflet'
module.exports = factory(require('leaflet'));
} else {
// Assume Leaflet is loaded into global object L already
factory(L);
}
}(this, function (L) {
'use strict';
L.TileLayer.Provider = L.TileLayer.extend({
initialize: function (arg, options) {
var providers = L.TileLayer.Provider.providers;
var parts = arg.split('.');
var providerName = parts[0];
var variantName = parts[1];
if (!providers[providerName]) {
throw 'No such provider (' + providerName + ')';
}
var provider = {
url: providers[providerName].url,
options: providers[providerName].options
};
// overwrite values in provider from variant.
if (variantName && 'variants' in providers[providerName]) {
if (!(variantName in providers[providerName].variants)) {
throw 'No such variant of ' + providerName + ' (' + variantName + ')';
}
var variant = providers[providerName].variants[variantName];
var variantOptions;
if (typeof variant === 'string') {
variantOptions = {
variant: variant
};
} else {
variantOptions = variant.options;
}
provider = {
url: variant.url || provider.url,
options: L.Util.extend({}, provider.options, variantOptions)
};
}
// replace attribution placeholders with their values from toplevel provider attribution,
// recursively
var attributionReplacer = function (attr) {
if (attr.indexOf('{attribution.') === -1) {
return attr;
}
return attr.replace(/\{attribution.(\w*)\}/g,
function (match, attributionName) {
return attributionReplacer(providers[attributionName].options.attribution);
}
);
};
provider.options.attribution = attributionReplacer(provider.options.attribution);
// Compute final options combining provider options with any user overrides
var layerOpts = L.Util.extend({}, provider.options, options);
L.TileLayer.prototype.initialize.call(this, provider.url, layerOpts);
}
});
/**
* Definition of providers.
* see http://leafletjs.com/reference.html#tilelayer for options in the options map.
*/
L.TileLayer.Provider.providers = {
OpenStreetMap: {
url: '//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
options: {
maxZoom: 19,
attribution:
'© <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
},
variants: {
Mapnik: {},
DE: {
url: '//{s}.tile.openstreetmap.de/tiles/osmde/{z}/{x}/{y}.png',
options: {
maxZoom: 18
}
},
CH: {
url: '//tile.osm.ch/switzerland/{z}/{x}/{y}.png',
options: {
maxZoom: 18,
bounds: [[45, 5], [48, 11]]
}
},
France: {
url: '//{s}.tile.openstreetmap.fr/osmfr/{z}/{x}/{y}.png',
options: {
maxZoom: 20,
attribution: '© Openstreetmap France | {attribution.OpenStreetMap}'
}
},
HOT: {
url: '//{s}.tile.openstreetmap.fr/hot/{z}/{x}/{y}.png',
options: {
attribution:
'{attribution.OpenStreetMap}, ' +
'Tiles style by <a href="https://www.hotosm.org/" target="_blank">Humanitarian OpenStreetMap Team</a> ' +
'hosted by <a href="https://openstreetmap.fr/" target="_blank">OpenStreetMap France</a>'
}
},
BZH: {
url: '//tile.openstreetmap.bzh/br/{z}/{x}/{y}.png',
options: {
attribution: '{attribution.OpenStreetMap}, Tiles courtesy of <a href="http://www.openstreetmap.bzh/" target="_blank">Breton OpenStreetMap Team</a>',
bounds: [[46.2, -5.5], [50, 0.7]]
}
}
}
},
OpenSeaMap: {
url: '//tiles.openseamap.org/seamark/{z}/{x}/{y}.png',
options: {
attribution: 'Map data: © <a href="http://www.openseamap.org">OpenSeaMap</a> contributors'
}
},
OpenPtMap: {
url: 'http://openptmap.org/tiles/{z}/{x}/{y}.png',
options: {
maxZoom: 17,
attribution: 'Map data: © <a href="http://www.openptmap.org">OpenPtMap</a> contributors'
}
},
OpenTopoMap: {
url: 'https://{s}.tile.opentopomap.org/{z}/{x}/{y}.png',
options: {
maxZoom: 17,
attribution: 'Map data: {attribution.OpenStreetMap}, <a href="http://viewfinderpanoramas.org">SRTM</a> | Map style: © <a href="https://opentopomap.org">OpenTopoMap</a> (<a href="https://creativecommons.org/licenses/by-sa/3.0/">CC-BY-SA</a>)'
}
},
OpenRailwayMap: {
url: 'https://{s}.tiles.openrailwaymap.org/standard/{z}/{x}/{y}.png',
options: {
maxZoom: 19,
attribution: 'Map data: {attribution.OpenStreetMap} | Map style: © <a href="https://www.OpenRailwayMap.org">OpenRailwayMap</a> (<a href="https://creativecommons.org/licenses/by-sa/3.0/">CC-BY-SA</a>)'
}
},
OpenFireMap: {
url: 'http://openfiremap.org/hytiles/{z}/{x}/{y}.png',
options: {
maxZoom: 19,
attribution: 'Map data: {attribution.OpenStreetMap} | Map style: © <a href="http://www.openfiremap.org">OpenFireMap</a> (<a href="https://creativecommons.org/licenses/by-sa/3.0/">CC-BY-SA</a>)'
}
},
SafeCast: {
url: '//s3.amazonaws.com/te512.safecast.org/{z}/{x}/{y}.png',
options: {
maxZoom: 16,
attribution: 'Map data: {attribution.OpenStreetMap} | Map style: © <a href="https://blog.safecast.org/about/">SafeCast</a> (<a href="https://creativecommons.org/licenses/by-sa/3.0/">CC-BY-SA</a>)'
}
},
Thunderforest: {
url: 'https://{s}.tile.thunderforest.com/{variant}/{z}/{x}/{y}.png?apikey={apikey}',
options: {
attribution:
'© <a href="http://www.thunderforest.com/">Thunderforest</a>, {attribution.OpenStreetMap}',
variant: 'cycle',
apikey: '<insert your api key here>',
maxZoom: 22
},
variants: {
OpenCycleMap: 'cycle',
Transport: {
options: {
variant: 'transport'
}
},
TransportDark: {
options: {
variant: 'transport-dark'
}
},
SpinalMap: {
options: {
variant: 'spinal-map'
}
},
Landscape: 'landscape',
Outdoors: 'outdoors',
Pioneer: 'pioneer',
MobileAtlas: 'mobile-atlas',
Neighbourhood: 'neighbourhood'
}
},
OpenMapSurfer: {
url: 'https://maps.heigit.org/openmapsurfer/tiles/{variant}/webmercator/{z}/{x}/{y}.png',
options: {
maxZoom: 19,
variant: 'roads',
attribution: 'Imagery from <a href="http://giscience.uni-hd.de/">GIScience Research Group @ University of Heidelberg</a> | Map data '
},
variants: {
Roads: {
options: {
variant: 'roads',
attribution: '{attribution.OpenMapSurfer}{attribution.OpenStreetMap}'
}
},
Hybrid: {
options: {
variant: 'hybrid',
attribution: '{attribution.OpenMapSurfer}{attribution.OpenStreetMap}'
}
},
AdminBounds: {
options: {
variant: 'adminb',
maxZoom: 18,
attribution: '{attribution.OpenMapSurfer}{attribution.OpenStreetMap}'
}
},
ContourLines: {
options: {
variant: 'asterc',
maxZoom: 18,
minZoom: 13,
attribution: '{attribution.OpenMapSurfer} <a href="https://lpdaac.usgs.gov/products/aster_policies">ASTER GDEM</a>'
}
},
Hillshade: {
options: {
variant: 'asterh',
maxZoom: 18,
attribution: '{attribution.OpenMapSurfer} <a href="https://lpdaac.usgs.gov/products/aster_policies">ASTER GDEM</a>, <a href="http://srtm.csi.cgiar.org/">SRTM</a>'
}
},
ElementsAtRisk: {
options: {
variant: 'elements_at_risk',
attribution: '{attribution.OpenMapSurfer}{attribution.OpenStreetMap}'
}
}
}
},
Hydda: {
url: '//{s}.tile.openstreetmap.se/hydda/{variant}/{z}/{x}/{y}.png',
options: {
maxZoom: 18,
variant: 'full',
attribution: 'Tiles courtesy of <a href="http://openstreetmap.se/" target="_blank">OpenStreetMap Sweden</a> — Map data {attribution.OpenStreetMap}'
},
variants: {
Full: 'full',
Base: 'base',
RoadsAndLabels: 'roads_and_labels'
}
},
MapBox: {
url: 'https://api.tiles.mapbox.com/v4/{id}/{z}/{x}/{y}{r}.png?access_token={accessToken}',
options: {
attribution:
'<a href="https://www.mapbox.com/about/maps/" target="_blank">© Mapbox</a> ' +
'{attribution.OpenStreetMap} ' +
'<a href="https://www.mapbox.com/map-feedback/" target="_blank">Improve this map</a>',
subdomains: 'abcd',
id: 'mapbox.streets',
accessToken: '<insert your access token here>',
}
},
Stamen: {
url: '//stamen-tiles-{s}.a.ssl.fastly.net/{variant}/{z}/{x}/{y}{r}.{ext}',
options: {
attribution:
'Map tiles by <a href="http://stamen.com">Stamen Design</a>, ' +
'<a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a> — ' +
'Map data {attribution.OpenStreetMap}',
subdomains: 'abcd',
minZoom: 0,
maxZoom: 20,
variant: 'toner',
ext: 'png'
},
variants: {
Toner: 'toner',
TonerBackground: 'toner-background',
TonerHybrid: 'toner-hybrid',
TonerLines: 'toner-lines',
TonerLabels: 'toner-labels',
TonerLite: 'toner-lite',
Watercolor: {
url: '//stamen-tiles-{s}.a.ssl.fastly.net/{variant}/{z}/{x}/{y}.{ext}',
options: {
variant: 'watercolor',
ext: 'jpg',
minZoom: 1,
maxZoom: 16
}
},
Terrain: {
options: {
variant: 'terrain',
minZoom: 0,
maxZoom: 18
}
},
TerrainBackground: {
options: {
variant: 'terrain-background',
minZoom: 0,
maxZoom: 18
}
},
TerrainLabels: {
options: {
variant: 'terrain-labels',
minZoom: 0,
maxZoom: 18
}
},
TopOSMRelief: {
url: '//stamen-tiles-{s}.a.ssl.fastly.net/{variant}/{z}/{x}/{y}.{ext}',
options: {
variant: 'toposm-color-relief',
ext: 'jpg',
bounds: [[22, -132], [51, -56]]
}
},
TopOSMFeatures: {
options: {
variant: 'toposm-features',
bounds: [[22, -132], [51, -56]],
opacity: 0.9
}
}
}
},
TomTom: {
url: 'https://{s}.api.tomtom.com/map/1/tile/{variant}/{style}/{z}/{x}/{y}.{ext}?key={apikey}',
options: {
variant: 'basic',
maxZoom: 22,
attribution:
'<a href="https://tomtom.com" target="_blank">© 1992 - ' + new Date().getFullYear() + ' TomTom.</a> ',
subdomains: 'abcd',
style: 'main',
ext: 'png',
apikey: '<insert your API key here>',
},
variants: {
Basic: 'basic',
Hybrid: 'hybrid',
Labels: 'labels'
}
},
Esri: {
url: '//server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}',
options: {
variant: 'World_Street_Map',
attribution: 'Tiles © Esri'
},
variants: {
WorldStreetMap: {
options: {
attribution:
'{attribution.Esri} — ' +
'Source: Esri, DeLorme, NAVTEQ, USGS, Intermap, iPC, NRCAN, Esri Japan, METI, Esri China (Hong Kong), Esri (Thailand), TomTom, 2012'
}
},
DeLorme: {
options: {
variant: 'Specialty/DeLorme_World_Base_Map',
minZoom: 1,
maxZoom: 11,
attribution: '{attribution.Esri} — Copyright: ©2012 DeLorme'
}
},
WorldTopoMap: {
options: {
variant: 'World_Topo_Map',
attribution:
'{attribution.Esri} — ' +
'Esri, DeLorme, NAVTEQ, TomTom, Intermap, iPC, USGS, FAO, NPS, NRCAN, GeoBase, Kadaster NL, Ordnance Survey, Esri Japan, METI, Esri China (Hong Kong), and the GIS User Community'
}
},
WorldImagery: {
options: {
variant: 'World_Imagery',
attribution:
'{attribution.Esri} — ' +
'Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community'
}
},
WorldTerrain: {
options: {
variant: 'World_Terrain_Base',
maxZoom: 13,
attribution:
'{attribution.Esri} — ' +
'Source: USGS, Esri, TANA, DeLorme, and NPS'
}
},
WorldShadedRelief: {
options: {
variant: 'World_Shaded_Relief',
maxZoom: 13,
attribution: '{attribution.Esri} — Source: Esri'
}
},
WorldPhysical: {
options: {
variant: 'World_Physical_Map',
maxZoom: 8,
attribution: '{attribution.Esri} — Source: US National Park Service'
}
},
OceanBasemap: {
options: {
variant: 'Ocean_Basemap',
maxZoom: 13,
attribution: '{attribution.Esri} — Sources: GEBCO, NOAA, CHS, OSU, UNH, CSUMB, National Geographic, DeLorme, NAVTEQ, and Esri'
}
},
NatGeoWorldMap: {
options: {
variant: 'NatGeo_World_Map',
maxZoom: 16,
attribution: '{attribution.Esri} — National Geographic, Esri, DeLorme, NAVTEQ, UNEP-WCMC, USGS, NASA, ESA, METI, NRCAN, GEBCO, NOAA, iPC'
}
},
WorldGrayCanvas: {
options: {
variant: 'Canvas/World_Light_Gray_Base',
maxZoom: 16,
attribution: '{attribution.Esri} — Esri, DeLorme, NAVTEQ'
}
}
}
},
OpenWeatherMap: {
url: 'http://{s}.tile.openweathermap.org/map/{variant}/{z}/{x}/{y}.png?appid={apiKey}',
options: {
maxZoom: 19,
attribution: 'Map data © <a href="http://openweathermap.org">OpenWeatherMap</a>',
apiKey:'<insert your api key here>',
opacity: 0.5
},
variants: {
Clouds: 'clouds',
CloudsClassic: 'clouds_cls',
Precipitation: 'precipitation',
PrecipitationClassic: 'precipitation_cls',
Rain: 'rain',
RainClassic: 'rain_cls',
Pressure: 'pressure',
PressureContour: 'pressure_cntr',
Wind: 'wind',
Temperature: 'temp',
Snow: 'snow'
}
},
HERE: {
/*
* HERE maps, formerly Nokia maps.
* These basemaps are free, but you need an API key. Please sign up at
* https://developer.here.com/plans
*/
url:
'https://{s}.{base}.maps.api.here.com/maptile/2.1/' +
'{type}/{mapID}/{variant}/{z}/{x}/{y}/{size}/{format}?' +
'app_id={app_id}&app_code={app_code}&lg={language}',
options: {
attribution:
'Map © 1987-' + new Date().getFullYear() + ' <a href="http://developer.here.com">HERE</a>',
subdomains: '1234',
mapID: 'newest',
'app_id': '<insert your app_id here>',
'app_code': '<insert your app_code here>',
base: 'base',
variant: 'normal.day',
maxZoom: 20,
type: 'maptile',
language: 'eng',
format: 'png8',
size: '256'
},
variants: {
normalDay: 'normal.day',
normalDayCustom: 'normal.day.custom',
normalDayGrey: 'normal.day.grey',
normalDayMobile: 'normal.day.mobile',
normalDayGreyMobile: 'normal.day.grey.mobile',
normalDayTransit: 'normal.day.transit',
normalDayTransitMobile: 'normal.day.transit.mobile',
normalDayTraffic: {
options: {
variant: 'normal.traffic.day',
base: 'traffic',
type: 'traffictile'
}
},
normalNight: 'normal.night',
normalNightMobile: 'normal.night.mobile',
normalNightGrey: 'normal.night.grey',
normalNightGreyMobile: 'normal.night.grey.mobile',
normalNightTransit: 'normal.night.transit',
normalNightTransitMobile: 'normal.night.transit.mobile',
reducedDay: 'reduced.day',
reducedNight: 'reduced.night',
basicMap: {
options: {
type: 'basetile'
}
},
mapLabels: {
options: {
type: 'labeltile',
format: 'png'
}
},
trafficFlow: {
options: {
base: 'traffic',
type: 'flowtile'
}
},
carnavDayGrey: 'carnav.day.grey',
hybridDay: {
options: {
base: 'aerial',
variant: 'hybrid.day'
}
},
hybridDayMobile: {
options: {
base: 'aerial',
variant: 'hybrid.day.mobile'
}
},
hybridDayTransit: {
options: {
base: 'aerial',
variant: 'hybrid.day.transit'
}
},
hybridDayGrey: {
options: {
base: 'aerial',
variant: 'hybrid.grey.day'
}
},
hybridDayTraffic: {
options: {
variant: 'hybrid.traffic.day',
base: 'traffic',
type: 'traffictile'
}
},
pedestrianDay: 'pedestrian.day',
pedestrianNight: 'pedestrian.night',
satelliteDay: {
options: {
base: 'aerial',
variant: 'satellite.day'
}
},
terrainDay: {
options: {
base: 'aerial',
variant: 'terrain.day'
}
},
terrainDayMobile: {
options: {
base: 'aerial',
variant: 'terrain.day.mobile'
}
}
}
},
FreeMapSK: {
url: 'http://t{s}.freemap.sk/T/{z}/{x}/{y}.jpeg',
options: {
minZoom: 8,
maxZoom: 16,
subdomains: '1234',
bounds: [[47.204642, 15.996093], [49.830896, 22.576904]],
attribution:
'{attribution.OpenStreetMap}, vizualization CC-By-SA 2.0 <a href="http://freemap.sk">Freemap.sk</a>'
}
},
MtbMap: {
url: 'http://tile.mtbmap.cz/mtbmap_tiles/{z}/{x}/{y}.png',
options: {
attribution:
'{attribution.OpenStreetMap} & USGS'
}
},
CartoDB: {
url: 'https://{s}.basemaps.cartocdn.com/{variant}/{z}/{x}/{y}{r}.png',
options: {
attribution: '{attribution.OpenStreetMap} © <a href="https://carto.com/attributions">CARTO</a>',
subdomains: 'abcd',
maxZoom: 19,
variant: 'light_all'
},
variants: {
Positron: 'light_all',
PositronNoLabels: 'light_nolabels',
PositronOnlyLabels: 'light_only_labels',
DarkMatter: 'dark_all',
DarkMatterNoLabels: 'dark_nolabels',
DarkMatterOnlyLabels: 'dark_only_labels',
Voyager: 'rastertiles/voyager',
VoyagerNoLabels: 'rastertiles/voyager_nolabels',
VoyagerOnlyLabels: 'rastertiles/voyager_only_labels',
VoyagerLabelsUnder: 'rastertiles/voyager_labels_under'
}
},
HikeBike: {
url: 'https://tiles.wmflabs.org/{variant}/{z}/{x}/{y}.png',
options: {
maxZoom: 19,
attribution: '{attribution.OpenStreetMap}',
variant: 'hikebike'
},
variants: {
HikeBike: {},
HillShading: {
options: {
maxZoom: 15,
variant: 'hillshading'
}
}
}
},
BasemapAT: {
url: '//maps{s}.wien.gv.at/basemap/{variant}/normal/google3857/{z}/{y}/{x}.{format}',
options: {
maxZoom: 19,
attribution: 'Datenquelle: <a href="https://www.basemap.at">basemap.at</a>',
subdomains: ['', '1', '2', '3', '4'],
format: 'png',
bounds: [[46.358770, 8.782379], [49.037872, 17.189532]],
variant: 'geolandbasemap'
},
variants: {
basemap: {
options: {
maxZoom: 20, // currently only in Vienna
variant: 'geolandbasemap'
}
},
grau: 'bmapgrau',
overlay: 'bmapoverlay',
highdpi: {
options: {
variant: 'bmaphidpi',
format: 'jpeg'
}
},
orthofoto: {
options: {
maxZoom: 20, // currently only in Vienna
variant: 'bmaporthofoto30cm',
format: 'jpeg'
}
}
}
},
nlmaps: {
url: '//geodata.nationaalgeoregister.nl/tiles/service/wmts/{variant}/EPSG:3857/{z}/{x}/{y}.png',
options: {
minZoom: 6,
maxZoom: 19,
bounds: [[50.5, 3.25], [54, 7.6]],
attribution: 'Kaartgegevens © <a href="kadaster.nl">Kadaster</a>'
},
variants: {
'standaard': 'brtachtergrondkaart',
'pastel': 'brtachtergrondkaartpastel',
'grijs': 'brtachtergrondkaartgrijs',
'luchtfoto': {
'url': '//geodata.nationaalgeoregister.nl/luchtfoto/rgb/wmts/1.0.0/2016_ortho25/EPSG:3857/{z}/{x}/{y}.png',
}
}
},
NASAGIBS: {
url: 'https://map1.vis.earthdata.nasa.gov/wmts-webmerc/{variant}/default/{time}/{tilematrixset}{maxZoom}/{z}/{y}/{x}.{format}',
options: {
attribution:
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System ' +
'(<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
bounds: [[-85.0511287776, -179.999999975], [85.0511287776, 179.999999975]],
minZoom: 1,
maxZoom: 9,
format: 'jpg',
time: '',
tilematrixset: 'GoogleMapsCompatible_Level'
},
variants: {
ModisTerraTrueColorCR: 'MODIS_Terra_CorrectedReflectance_TrueColor',
ModisTerraBands367CR: 'MODIS_Terra_CorrectedReflectance_Bands367',
ViirsEarthAtNight2012: {
options: {
variant: 'VIIRS_CityLights_2012',
maxZoom: 8
}
},
ModisTerraLSTDay: {
options: {
variant: 'MODIS_Terra_Land_Surface_Temp_Day',
format: 'png',
maxZoom: 7,
opacity: 0.75
}
},
ModisTerraSnowCover: {
options: {
variant: 'MODIS_Terra_Snow_Cover',
format: 'png',
maxZoom: 8,
opacity: 0.75
}
},
ModisTerraAOD: {
options: {
variant: 'MODIS_Terra_Aerosol',
format: 'png',
maxZoom: 6,
opacity: 0.75
}
},
ModisTerraChlorophyll: {
options: {
variant: 'MODIS_Terra_Chlorophyll_A',
format: 'png',
maxZoom: 7,
opacity: 0.75
}
}
}
},
NLS: {
// NLS maps are copyright National library of Scotland.
// http://maps.nls.uk/projects/api/index.html
// Please contact NLS for anything other than non-commercial low volume usage
//
// Map sources: Ordnance Survey 1:1m to 1:63K, 1920s-1940s
// z0-9 - 1:1m
// z10-11 - quarter inch (1:253440)
// z12-18 - one inch (1:63360)
url: '//nls-{s}.tileserver.com/nls/{z}/{x}/{y}.jpg',
options: {
attribution: '<a href="http://geo.nls.uk/maps/">National Library of Scotland Historic Maps</a>',
bounds: [[49.6, -12], [61.7, 3]],
minZoom: 1,
maxZoom: 18,
subdomains: '0123',
}
},
JusticeMap: {
// Justice Map (http://www.justicemap.org/)
// Visualize race and income data for your community, county and country.
// Includes tools for data journalists, bloggers and community activists.
url: 'http://www.justicemap.org/tile/{size}/{variant}/{z}/{x}/{y}.png',
options: {
attribution: '<a href="http://www.justicemap.org/terms.php">Justice Map</a>',
// one of 'county', 'tract', 'block'
size: 'county',
// Bounds for USA, including Alaska and Hawaii
bounds: [[14, -180], [72, -56]]
},
variants: {
income: 'income',
americanIndian: 'indian',
asian: 'asian',
black: 'black',
hispanic: 'hispanic',
multi: 'multi',
nonWhite: 'nonwhite',
white: 'white',
plurality: 'plural'
}
},
Wikimedia: {
url: 'https://maps.wikimedia.org/osm-intl/{z}/{x}/{y}{r}.png',
options: {
attribution: '<a href="https://wikimediafoundation.org/wiki/Maps_Terms_of_Use">Wikimedia</a>',
minZoom: 1,
maxZoom: 19
}
},
GeoportailFrance: {
url: 'https://wxs.ign.fr/{apikey}/geoportail/wmts?REQUEST=GetTile&SERVICE=WMTS&VERSION=1.0.0&STYLE={style}&TILEMATRIXSET=PM&FORMAT={format}&LAYER={variant}&TILEMATRIX={z}&TILEROW={y}&TILECOL={x}',
options: {
attribution: '<a target="_blank" href="https://www.geoportail.gouv.fr/">Geoportail France</a>',
bounds: [[-75, -180], [81, 180]],
minZoom: 2,
maxZoom: 18,
// Get your own geoportail apikey here : http://professionnels.ign.fr/ign/contrats/
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<p>One of the advantages of today’s cloud computing platforms is that many of them include a large catalog of open data. This includes petabyte-scale collections of satellite imagery as from the Landsat and Copernicus missions. Downloading larger amounts of such data can be frustrating, time-consuming, or simply unfeasible.</p>
<p>Coming from a local analysis workflow where imagery lies somewhere on your disk, there are two important differences that require some additional work on cloud platforms. First, it may not be straightforward to discover the data. For example, the <a href="https://cloud.google.com/storage/docs/public-datasets/sentinel-2#dataset_access">Sentinel-2 imagery in the Google Cloud</a> is indexed as a 2 GB CSV file (or available in BigQuery). Performing essential queries like <em>“find all images that spatially intersect with a region of interest and have been recorded within a certain period of time”</em> may involve some effort and depends on how the data is indexed. Second, image data is located on object storage and the communication works over HTTP. For typical image file formats such as JPEG2000, only complete files can be queried even if small blocks or pixels at lower resolution are needed. Assuming a common size of hundreds of megabytes per image file, this leads to a lot of unneeded data transfer if we work for smaller regions and/or at lower resolution.</p>
<p>Two recent developments that address these issues are the <a href="https://stacspec.org">SpatioTemporal Asset Catalog (STAC)</a> and the <a href="https://www.cogeo.org">Cloud Optimized GeoTIFF (COG)</a> file format. This blog post briefly introduces STAC and COGs and presents ongoing developments that make it easier to analyse Earth observation data on cloud platforms using R. We use a small machine on Amazon Web Services (AWS) and the open <a href="https://registry.opendata.aws/sentinel-2-l2a-cogs">Sentinel-2 COG catalog</a> containing Level-2A (surface reflectance) imagery from the Sentinel-2 satellites in a few examples by combining the R packages <code>rstac</code> and <code>gdalcubes</code>.</p>
<div id="spatiotemporal-asset-catalog-stac" class="section level1">
<h1>SpatioTemporal Asset Catalog (STAC)</h1>
<p><a href="https://stacspec.org">STAC</a> is an emerging specification and ecosystem to describe, find and work with geospatial datasets in a cloud-native manner using <a href="https://github.com/radiantearth/stac-spec">static metadata files</a> or an <a href="https://github.com/radiantearth/stac-api-spec">API</a>. Its goal is to get away from proprietary APIs for exposing geospatial assets and thus increase interoperability and ease of use across domains such as <a href="https://github.com/radiantearth/stac-spec/blob/master/extensions/eo/README.md">Optical</a>, <a href="https://github.com/stac-extensions/sar">SAR</a>, <a href="https://github.com/stac-extensions/pointcloud">LIDAR</a> or <a href="https://github.com/stac-extensions/label">ML</a>. The main focus of STAC is to expose metadata for search and discovery so that interested parties get aware of data made available, e.g. through finding them in a normal search engine such as Google or Bing. Apart from search and discovery, STAC is extensible with <a href="https://github.com/radiantearth/stac-spec/blob/master/extensions/README.md">various extensions</a> already defined and it it also possible to link to additional metadata and other related information.</p>
<p>STAC is a set of four complimentary specifications:</p>
<ul>
<li>The <a href=""><strong>Collection</strong> specification</a> is meant to expose high-level information about a dataset with similar characteristics, e.g. all imagery captured in the Sentinel 2 mission.</li>
<li>The <strong>Item</strong> specification describes single parts of the mission, e.g. a single Sentinel 2 image with all bands included. The files exposed by an Item are the <strong>Assets</strong>.</li>
<li>The <strong>Catalog</strong> specification allows to group Collections and Items by various aspects so that they are easier to browse through.</li>
<li><strong>STAC API</strong> is the last specification in this list, which is a superset of <a href="https://www.ogc.org/standards/ogcapi-features">OGC API - Features</a> and aligns with their extensions as well.</li>
</ul>
<p>The ecosystem of STAC software and catalogs is growing. <a href="https://stacindex.org/">STAC Index</a> gives an overview over <a href="https://stacindex.org/catalogs">STAC catalogs and APIs</a>. The <a href="https://stacindex.org/ecosystem">list of software</a> with <a href="https://stacindex.org/ecosystem?language=R">R-based implementations</a> is so far limited to the <code>rstac</code> CRAN package.</p>
<p>A number of interesting talks about cloud native geospatial with strong focus on STAC can be found in the YouTube playlist of the <a href="https://www.youtube.com/playlist?list=PL3QzFgBMGnbQWbW-V09AzSfCbnf6Q87Rq">Cloud Native Geospatial Outreach Day 2020</a>.</p>
</div>
<div id="cloud-optimized-geotiff-cog" class="section level1">
<h1>Cloud Optimized GeoTIFF (COG)</h1>
<p>COGs can be seen as special GeoTIFF files where image data is stored block-wise (tiled) and the order of metadata entries and pixel data on full resolution and optional overview images follows a specific structure. More details can be found on the <a href="https://www.cogeo.org/">COG website</a> and the <a href="https://gdal.org/drivers/raster/cog.html">GDAL COG driver documentation</a>. If we request a block of pixels, COGs allow to automatically find out which bytes of the file must be read and hence HTTP GET range requests become possible. The availability of overview images within a COG is essential to allow fast (on-the-fly) analysis on low resolution (as we know from <a href="https://earthengine.google.com/">Google Earth Engine</a>, where only pixels that are actually displayed on the screen are computed). Fortunately, <a href="https://gdal.org/">GDAL</a> not only supports reading and writing COGs but also includes <a href="https://gdal.org/user/virtual_file_systems.html">virtual file systems</a> to access files over HTTP and from object storage of cloud providers including AWS S3 and Google Cloud Storage.</p>
</div>
<div id="launching-an-ec2-instance-on-aws" class="section level1">
<h1>Launching an EC2 instance on AWS</h1>
<p>We launch a rather cheap machine (t3.large) on AWS in the region us-west-2 (Oregon), where the data is located. Using the AWS management console makes this straightforward.</p>
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" style="width:70%; margin:auto; display: block;" /></p>
<p>Since our machine instance uses a blank Ubuntu image, we start with connecting over SSH and installing some system libraries and the most recent R version:</p>
<pre><code>sudo apt update
sudo apt install libgdal-dev libcurl4-openssl-dev libnetcdf-dev libudunits2-dev gdal-bin libmagick++-dev pandoc
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9
sudo add-apt-repository 'deb https://cloud.r-project.org/bin/linux/ubuntu focal-cran40/'
sudo apt update && sudo apt install r-base</code></pre>
<p>If you prefer to use RStudio, it is also straightforward to install RStudio Server and add a security rule to make it accessible on port 8787 in the AWS management console. Afterwards, we can install quite a few R packages:</p>
<pre class="r"><code>install.packages(c("sf", "stars", "magick", "rmarkdown", "ncdf4", "Rcpp", "jsonlite", "RcppProgress", "rstac", "tmap"))</code></pre>
<p>To avoid these step when launching another instance, we might collect everything in a Docker image and use additional services of the cloud platforms (e.g., Amazon Elastic Container Service).</p>
</div>
<div id="querying-images-with-rstac" class="section level1">
<h1>Querying images with <code>rstac</code></h1>
<p>STAC API is a modern well-documented RESTful and JSON-based API. To communicate with STAC API instances from R, the <a href="https://cran.r-project.org/package=rstac"><code>rstac</code> package</a> has been developed as part of the <a href="http://brazildatacube.org">Brazil Data Cube project</a>.</p>
<p>Below, we connect to the open <a href="https://www.element84.com/earth-search">Earth Search API</a> and perform a query on the Sentinel-2 COG collection to find all images that intersect with a bounding box over the city of Geneva from 2020.</p>
<pre class="r"><code>library(rstac)
s = stac("https://earth-search.aws.element84.com/v0")
items <- s %>%
stac_search(collections = "sentinel-s2-l2a-cogs",
bbox = c(6.1,46.2,6.2,46.3), # Geneva
datetime = "2020-01-01/2020-12-31",
limit = 500) %>%
post_request()
items</code></pre>
<pre><code>## ###STACItemCollection
## - matched feature(s): 147
## - features (147 item(s)):
## - S2A_31TGM_20201230_0_L2A
## - S2B_31TGM_20201228_0_L2A
## - S2B_31TGM_20201225_0_L2A
## - S2A_31TGM_20201223_0_L2A
## - S2A_31TGM_20201220_0_L2A
## - S2B_31TGM_20201218_0_L2A
## - S2B_31TGM_20201215_0_L2A
## - S2A_31TGM_20201213_0_L2A
## - S2A_31TGM_20201210_0_L2A
## - S2B_31TGM_20201208_0_L2A
## - ... with 137 more feature(s).
## - field(s):
## type, stac_version, stac_extensions, context, numberMatched, numberReturned, features, links</code></pre>
<p>The result is a list containing some general metadata (e.g., STAC version, STAC extensions used, and the number of returned and matching features) as well as the list of features. Each feature corresponds to an image and contains a unique identifier, the spatial footprint and bounding box, further properties (recording datetime and per image metadata such as cloud cover percentage), and a list of assets. Each asset contains a URL that points to an image file and again may include further metadata. Here, the spectral bands are individual assets but assets may also point to non-image data. Notice that STAC API instances may limit the maximum number of resulting features per request. In the example, 147 images were returned.</p>
<p>Printing an asset element of one of the images shows that links to imagery are simply URLs of GeoTIFF files located on an AWS S3 bucket.</p>
<pre class="r"><code>items$features[[4]]$assets$B04</code></pre>
<pre><code>## $title
## [1] "Band 4 (red)"
##
## $type
## [1] "image/tiff; application=geotiff; profile=cloud-optimized"
##
## $roles
## [1] "data"
##
## $gsd
## [1] 10
##
## $`eo:bands`
## $`eo:bands`[[1]]
## $`eo:bands`[[1]]$name
## [1] "B04"
##
## $`eo:bands`[[1]]$common_name
## [1] "red"
##
## $`eo:bands`[[1]]$center_wavelength
## [1] 0.6645
##
## $`eo:bands`[[1]]$full_width_half_max
## [1] 0.038
##
##
##
## $href
## [1] "https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/31/T/GM/2020/12/S2A_31TGM_20201223_0_L2A/B04.tif"
##
## $`proj:shape`
## [1] 10980 10980
##
## $`proj:transform`
## [1] 10 0 699960 0 -10 5200020 0 0 1</code></pre>
<p>To perform server-side filtering of images by properties such as cloud cover percentage, we can modify the query object returned from <code>stac_search()</code> and add further query parameters. However, this only works if the STAC API service supports the <a href="https://github.com/radiantearth/stac-api-spec/tree/master/item-search#query">STAC API Query extension</a>. Below, we add a <code>query</code> HTTP POST parameter to return only images with less than 20% cloud coverage.</p>
<pre class="r"><code>q <- s %>% stac_search(collections = "sentinel-s2-l2a-cogs",
bbox = c(6.1,46.2,6.2,46.3), # Geneva
datetime = "2020-01-01/2020-12-31",
limit = 500)
q$params$query = "{\"eo:cloud_cover\": {\"lt\": 10}}" # JSON property filter
q %>% post_request() </code></pre>
<pre><code>## ###STACItemCollection
## - matched feature(s): 39
## - features (39 item(s)):
## - S2A_31TGM_20201130_0_L2A
## - S2B_31TGM_20201118_0_L2A
## - S2B_31TGM_20200916_0_L2A
## - S2A_31TGM_20200914_0_L2A
## - S2B_31TGM_20200909_0_L2A
## - S2A_31TGM_20200904_0_L2A
## - S2A_31TGM_20200822_0_L2A
## - S2B_31TGM_20200820_0_L2A
## - S2B_31TGM_20200810_0_L2A
## - S2B_31TGM_20200807_0_L2A
## - ... with 29 more feature(s).
## - field(s):
## type, stac_version, stac_extensions, context, numberMatched, numberReturned, features, links</code></pre>
<p>This functionality is quite important for the analysis of larger areas or long time series in order to deal with limits on the number of returned items. The extension is currently in the pilot stage and might be replaced by CQL filters in the future (following OGC API - Features). In the following smaller examples, we therefore simply request all available images and filter by cloud cover on the client side.</p>
</div>
<div id="on-demand-data-cubes-with-gdalcubes" class="section level1">
<h1>On-demand data cubes with <code>gdalcubes</code></h1>
<p>The <code>gdalcubes</code> package creates and processes regularly discretised data cubes on demand from satellite image collections, where images may have different spatial reference systems, spectral bands may have different pixel sizes, images may overlap, and images may be recorded irregularly over time. It uses GDAL to read and warp images and hence directly works with COGs in cloud computing environments. An introduction into the package can be found in an earlier <a href="https://www.r-spatial.org/r/2019/07/18/gdalcubes1.html">r-spatial blog post</a> and on <a href="https://github.com/appelmar/gdalcubes_R">GitHub</a>.</p>
<p>The latest development version of <code>gdalcubes</code> (<a href="https://github.com/appelmar/gdalcubes_R">see GitHub</a>) adds a function that converts STAC feature collections (as returned from the <code>rstac</code> package) to image collections. Compared to local processing, creating image collections from STAC is very fast, because no metadata must be read from the files. The function <code>stac_image_collection()</code> expects a STAC feature collection as a list and takes further arguments to filter images by metadata (e.g. cloud coverage) or by asset names (e.g., spectral bands), and to modify URLs of images. The latter is important to explain GDAL how to access URLs. By default <code>/vsicurl/</code> is added as a prefix to URLs to make use of GDAL’s virtual file system.</p>
<p>To get started, we first need to install the GitHub version of <code>gdalcubes</code>, which can be done from the command line by:</p>
<pre><code>git clone --recursive https://github.com/appelmar/gdalcubes_R
cd gdalcubes_R && R CMD INSTALL .</code></pre>
<p>Afterwards, we load the package and use the result of the previous STAC request to create an image collection from all images with less than 20% clouds.</p>
<pre class="r"><code>library(gdalcubes)
system.time(col <- stac_image_collection(items$features, property_filter = function(x) {x[["eo:cloud_cover"]] < 20}))</code></pre>
<pre><code>## user system elapsed
## 0.097 0.000 0.103</code></pre>
<pre class="r"><code>col</code></pre>
<pre><code>## Image collection object, referencing 47 images with 18 bands
## Images:
## name left top bottom right
## 1 S2A_31TGM_20201213_0_L2A 5.579473 46.92356 45.91712 6.746993
## 2 S2A_31TGM_20201210_0_L2A 5.579473 46.92356 45.89574 7.065643
## 3 S2A_31TGM_20201130_0_L2A 5.579473 46.92356 45.89574 7.065643
## 4 S2B_31TGM_20201118_0_L2A 5.579473 46.92356 45.91738 6.739264
## 5 S2B_31TGM_20200916_0_L2A 5.579473 46.92356 45.89574 7.065643
## 6 S2A_31TGM_20200914_0_L2A 5.579473 46.92356 45.91741 6.738216
## datetime srs
## 1 2020-12-13T10:48:00 EPSG:32631
## 2 2020-12-10T10:38:03 EPSG:32631
## 3 2020-11-30T10:38:07 EPSG:32631
## 4 2020-11-18T10:48:04 EPSG:32631
## 5 2020-09-16T10:38:08 EPSG:32631
## 6 2020-09-14T10:48:07 EPSG:32631
## [ omitted 41 images ]
##
## Bands:
## name offset scale unit nodata image_count
## 1 B01 0 1 47
## 2 B02 0 1 47
## 3 B03 0 1 47
## 4 B04 0 1 47
## 5 B05 0 1 47
## 6 B06 0 1 47
## 7 B07 0 1 47
## 8 B08 0 1 47
## 9 B09 0 1 47
## 10 B11 0 1 47
## 11 B12 0 1 47
## 12 B8A 0 1 47
## 13 overview:B02 0 1 47
## 14 overview:B03 0 1 47
## 15 overview:B04 0 1 47
## 16 visual:B02 0 1 47
## 17 visual:B03 0 1 47
## 18 visual:B04 0 1 47</code></pre>
<p>Notice that the conversion tries to find out which assets correspond to spectral bands automatically based on the availability of <code>eo:bands</code> metadata. In this case, the Sentinel-2 SCL layer that can be used for cloud masking has not been added because it has no <code>eo:bands</code> properties. We can still add it by explicitly listing assets by name:</p>
<pre class="r"><code>assets = c("B01","B02","B03","B04","B05","B06", "B07","B08","B8A","B09","B11","SCL")
col = stac_image_collection(items$features, asset_names = assets,
property_filter = function(x) {x[["eo:cloud_cover"]] < 20})</code></pre>
<pre><code>## Warning in stac_image_collection(items$features, asset_names = assets,
## property_filter = function(x) {: STAC asset with name 'SCL' does not include
## eo:bands metadata and will be considered as a single band source</code></pre>
<p>The warning tells us that metadata is missing for the SCL assets. In the future, we might make this a bit more clever by considering further STAC asset metadata (such as the asset type).</p>
<p>Thanks to <code>gdalcubes</code>, we do not need to care about differences of the spatial resolution of the assets and different spatial reference systems and spatial overlaps of the images. After creating the image collection, we can work with <code>gdalcubes</code> as with any local image collection. For example, the following script generates a cloud-free mosaic image at 20m spatial resolution for Geneva 2020 by computing for each pixel the median value of the visible spectral bands over time, for all pixels that have not been classified as clouds or cloud shadows.</p>
<pre class="r"><code>v = cube_view(srs = "EPSG:3857", extent = list(t0 = "2020-01-01", t1 = "2020-12-31",
left = 674052, right = 693136, top = 5821142, bottom = 5807088),
dx = 20, dy = 20, dt = "P1D", aggregation = "median", resampling = "average")
S2.mask = image_mask("SCL", values=c(3,8,9)) # clouds and cloud shadows
gdalcubes_options(threads = 4)
raster_cube(col, v, mask = S2.mask) %>%
select_bands(c("B02","B03","B04")) %>%
reduce_time(c("median(B02)", "median(B03)", "median(B04)")) %>%
plot(rgb = 3:1, zlim=c(0,1800)) %>% system.time()</code></pre>
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width="672" /></p>
<pre><code>## user system elapsed
## 343.401 13.899 207.639</code></pre>
</div>
<div id="more-examples" class="section level1">
<h1>More examples</h1>
<p>Since we have access to <em>all</em> Sentinel-2 images, we can simply jump to any other area on Earth. We need to request available images again using STAC, create a gdalcubes image collection, and finally create and process the data as a data cube.</p>
<p>In the following example, we create a monthly animation of the normalized difference vegetation index over some cropland in Kansas, US in 2019.</p>
<pre class="r"><code>items <- s %>%
stac_search(collections = "sentinel-s2-l2a-cogs",
bbox = c(-100.9,37.6, -100.6,37.8),
datetime = "2019-01-01/2019-12-31",
limit = 500) %>%
post_request()
col = stac_image_collection(items$features, asset_names = assets,
property_filter = function(x) {x[["eo:cloud_cover"]] < 20})
v = cube_view(srs = "EPSG:4326", extent = list(t0 = "2019-01-01", t1 = "2019-12-31",
left = -100.9, right = -100.6, top = 37.8, bottom = 37.6),
dx = 0.001, dy = 0.001, dt = "P1M", aggregation = "median", resampling = "bilinear")
library(colorspace)
ndvi.col = function(n) {
rev(sequential_hcl(n, "Green-Yellow"))
}
raster_cube(col, v, mask = S2.mask) %>%
select_bands(c("B04", "B08")) %>%
apply_pixel("(B08-B04)/(B08+B04)", "NDVI") %>%
animate(col = ndvi.col, zlim=c(-0.2,1), key.pos = 1, save_as = "anim.gif", fps = 4)</code></pre>
<pre><code>## format width height colorspace matte filesize density
## 1 gif 1344 960 sRGB FALSE 0 72x72
## 2 gif 1344 960 sRGB TRUE 0 72x72
## 3 gif 1344 960 sRGB TRUE 0 72x72
## 4 gif 1344 960 sRGB TRUE 0 72x72
## 5 gif 1344 960 sRGB TRUE 0 72x72
## 6 gif 1344 960 sRGB TRUE 0 72x72
## 7 gif 1344 960 sRGB TRUE 0 72x72
## 8 gif 1344 960 sRGB TRUE 0 72x72
## 9 gif 1344 960 sRGB TRUE 0 72x72
## 10 gif 1344 960 sRGB TRUE 0 72x72
## 11 gif 1344 960 sRGB TRUE 0 72x72
## 12 gif 1344 960 sRGB TRUE 0 72x72</code></pre>
<p><img 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" /><!-- --></p>
<p>As a last example, we assess forest cover over a small area in the Brazilian Amazon region. We derive separate maximum NDVI composite images for the dry seasons of 2019 and 2020 and filter pixels whose maximum NDVI change is lower than -0.15 using the <code>stars</code> package and plot an interactive map using <code>tmap</code>.</p>
<pre class="r"><code>items_2019 <- s %>%
stac_search(collections = "sentinel-s2-l2a-cogs",
bbox = c(-66.2,-9.3, -65.5, -8.7),
datetime = "2019-05-01/2019-06-30",
limit = 500) %>%
post_request()
items_2020 <- s %>%
stac_search(collections = "sentinel-s2-l2a-cogs",
bbox = c(-66.2,-9.3, -65.5, -8.7),
datetime = "2020-05-01/2020-06-30",
limit = 500) %>%
post_request()
col_2019 = stac_image_collection(items_2019$features, asset_names = assets,
property_filter = function(x) {x[["eo:cloud_cover"]] < 10})
col_2020 = stac_image_collection(items_2020$features, asset_names = assets,
property_filter = function(x) {x[["eo:cloud_cover"]] < 10})
v_2019 = cube_view(srs = "EPSG:32720", extent = list(t0 = "2019-05-01", t1 = "2019-06-30",
left = 143510, right = 226241, top = 9037300, bottom = 8972318),
dx = 100, dy = 100, dt = "P1D", aggregation = "median", resampling = "bilinear")
v_2020 = cube_view(v_2019, extent = list(t0 = "2020-05-01", t1 = "2020-06-30"))
max_ndvi_mosaic <- function(col, v) {
raster_cube(col, v, mask = S2.mask) %>%
select_bands(c("B04", "B08")) %>%
apply_pixel(c("(B08-B04)/(B08+B04)"), names="NDVI") %>%
reduce_time("max(NDVI)")
}
suppressPackageStartupMessages(library(stars))
max_ndvi_mosaic(col_2019, v_2019) %>%
st_as_stars() -> maxndvi_2019
max_ndvi_mosaic(col_2020, v_2020) %>%
st_as_stars() -> maxndvi_2020
difference = maxndvi_2020 - maxndvi_2019
difference[difference > -0.15] = NA
names(difference) <- "Difference of max NDVI (2020 - 2019)"
library(tmap)
tmap_mode("view")</code></pre>
<pre><code>## tmap mode set to interactive viewing</code></pre>
<pre class="r"><code>tm_basemap("Esri.WorldImagery") + tm_shape(difference) + tm_raster(palette = colorspace::sequential_hcl(8, palette = "Red-Blue"))</code></pre>
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<p>When we convert to stars objects, we can apply any R function to the data cube, such as spatial clustering, classification of time series, or time series analysis methods. Examples of this are given in the stars vignette <a href="https://r-spatial.github.io/stars/articles/stars7.html">Statistical modelling with stars objects</a>.</p>
</div>
<div id="summary" class="section level1">
<h1>Summary</h1>
<p>With only a few lines of code, the combination of STAC, COGs, and data cubes allows to access and apply R functions on satellite imagery available on AWS. Even with a very small machine instance type, we could do some experiments for smaller areas of interest. Most of this is possible because GDAL efficiently reads and writes COGs, even on cloud storage.</p>
<p>However, although STAC is gaining a lot of popularity these days, not all of the available catalogs point to individual images and some catalogs simply provide original image files but no COGs, which may slow down processing. For a good reason, STAC API endpoints have request limits on the number of returned features. When requesting longer time series or larger areas, these limits are quickly reached and it is up to the user to subdivide queries.</p>
<p>The performed analyses have been rather simple but running more complex analyses is straightforward. In our examples, we used a rather modest EC2 instance (<code>t3.large</code>: 2 CPU’s, 8 Gb RAM, I/O 5 Gigabit, 0.0832 USD per hour or 61 USD per month, + disk storage). Executing this R markdown document on this instance took around 7 minutes. Although there are very powerful instance types (e.g. with 96 CPU cores, 768 GB main memory), analysis on very large scale might work better by running many instances in parallel. Cloud platforms of course include services to do this, and distributing the work outlined above over many instances involves additional considerations.</p>
</div>
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