Published unlisted
Edited
Nov 3, 2021
Agriculture_Mask_server_response.layers[0].type
cors_proxy = "https://observable-cors.glitch.me/"
Agriculture_Mask_server_response = fetch(
"https://observable-cors.glitch.me/http://geoapps.icimod.org/icimodarcgis/rest/services/Nepal/Agriculture_Mask/MapServer/query?&f=pjson"
).then((response) => response.json())
Agriculture_Mask_server_tiff = fetch(
"https://observable-cors.glitch.me/http://geoapps.icimod.org/icimodarcgis/rest/services/Nepal/Agriculture_Mask/MapServer/export?bbox=77.94771290110823,26.081245580749236,91.38253135336103,30.0000338114638&imageSR=4326&format=tif&transparent=true&size=&dpi=&f=pjson"
).then((response) => response.json())
md`
`
viewof format = Inputs.select(["svg","png", "tif"], {label: "Output Format"})
result.href
image_data = fetch(
"https://observable-cors.glitch.me/http://geoapps.icimod.org/icimodarcgis/rest/services/Nepal/Agriculture_Mask/MapServer?f=pjson"
).then((response) => response.json())
xmin = image_data.fullExtent.xmin
ymin = image_data.fullExtent.ymin
xmax = image_data.fullExtent.xmax
ymax = image_data.fullExtent.ymax
sr = image_data.spatialReference.wkid
img_width = image_data.maxImageWidth
img_height = image_data.maxImageHeight
layers = Object.keys(image_data.layers).join(", ")
url_ag_mask = "https://observable-cors.glitch.me/http://geoapps.icimod.org/icimodarcgis/rest/services/Nepal/Agriculture_Mask/MapServer/export?bbox=" + xmin + "," + ymin + "," + xmax + "," + ymax + "bboxSR=" + sr + "," + "imageSR=" + sr +"&layers=show:" + layers + "size=" + img_width + "," + img_height +"&format=" + format + "&transparent=true&dpi=&f=pjson"
result = fetch(url_ag_mask).then((response) => response.json())
geoblaze = require('geoblaze@0.3.2')
georaster.height
georaster.width
url = await FileAttachment("_ags_map047653e68e4f4cd5bca2a0cbe9960279.tif").url()
georaster = geoblaze.load(url)
georaster.toCanvas({ width: georaster.width, height: georaster.height })
arcgis.RasterDataSource // hmm...
svgtogeojson = require('svg-to-geojson@1.0.0/dist/svg-to-geojson.min.js').catch(() => window["svgtogeojson"])
svgtogeojson.svgToGeoJson(bounds, svg, 3)
svg = html`<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="300pt" height="300pt" viewBox="0 0 300 300" xml:space="preserve" enable-background="new 0 0 300 300">
<g color-interpolation="linearRGB" transform="scale(0.75,0.75)">
<g id="">
<g id="Wheat_Mask">
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</g>
</g>
<g id="Rice_Mask">
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transform="matrix(1 0 0 1 -2 140)" />
</g>
</g>
</g>
</g>
</svg>
`
svgson = require('svgson@5.2.1/dist/svgson.umd.js')
svgson.parse(svg_text)
JSON.stringify(svg_text)
FileAttachment("extract_ags_mapf4dfd0be0ff942388b8f6044cdd90e061635941533.json").json()
svg_text = await FileAttachment("_ags_mapf4dfd0be0ff942388b8f6044cdd90e06.svg").text()
bounds = ("[" + xmin + ", " + ymin + "], [" + xmax + ", " + ymax + "]")
doc_kml = `<?xml version="1.0" encoding="UTF-8"?>
<kml xmlns="http://www.opengis.net/kml/2.2" xmlns:gx="http://www.google.com/kml/ext/2.2" xmlns:kml="http://www.opengis.net/kml/2.2" xmlns:atom="http://www.w3.org/2005/Atom">
<GroundOverlay>
<name>Image Overlay</name>
<Icon>
<href>${files[0]}</href> <!--<img src="${result.href}" alt="">-->
<viewBoundScale>0.75</viewBoundScale>
</Icon>
<LatLonBox>
<north>${ymax}</north>
<south>${ymin}</south>
<east>${xmax}</east>
<west>${xmin}</west>
</LatLonBox>
</GroundOverlay>
</kml>`
xmin
ymin
xmax
ymax
files[0]
files = ["image.png", "image.png.aux.xml"]
aux_xml = `<PAMDataset>
<Metadata domain="IMAGE_STRUCTURE">
<MDI key="INTERLEAVE">PIXEL</MDI>
</Metadata>
<PAMRasterBand band="1">
<Metadata>
<MDI key="STATISTICS_APPROXIMATE">YES</MDI>
<MDI key="STATISTICS_MAXIMUM">255</MDI>
<MDI key="STATISTICS_MEAN">141.11929138584</MDI>
<MDI key="STATISTICS_MINIMUM">0</MDI>
<MDI key="STATISTICS_STDDEV">104.41006898941</MDI>
<MDI key="STATISTICS_VALID_PERCENT">100</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="2">
<Metadata>
<MDI key="STATISTICS_APPROXIMATE">YES</MDI>
<MDI key="STATISTICS_MAXIMUM">255</MDI>
<MDI key="STATISTICS_MEAN">142.49433211572</MDI>
<MDI key="STATISTICS_MINIMUM">0</MDI>
<MDI key="STATISTICS_STDDEV">102.82568919788</MDI>
<MDI key="STATISTICS_VALID_PERCENT">100</MDI>
</Metadata>
</PAMRasterBand>
<PAMRasterBand band="3">
<Metadata>
<MDI key="STATISTICS_APPROXIMATE">YES</MDI>
<MDI key="STATISTICS_MAXIMUM">255</MDI>
<MDI key="STATISTICS_MEAN">146.29869149903</MDI>
<MDI key="STATISTICS_MINIMUM">0</MDI>
<MDI key="STATISTICS_STDDEV">100.65911513108</MDI>
<MDI key="STATISTICS_VALID_PERCENT">100</MDI>
</Metadata>
</PAMRasterBand>
</PAMDataset>
`
viewof select_layers = Inputs.select(Object.keys(image_data.layers), {label:"select layers"})
viewof select_format = Inputs.select(["svg", "png", "png32"], {
label: "Select Format"
})
html`
<img style="-webkit-user-select: none;margin: auto;background-color: hsl(0, 0%, 90%);transition: background-color 300ms;" src= ${url_spec}>
`
url_spec = "https://geoapps.icimod.org/icimodarcgis/rest/services/Nepal/Agriculture_Mask/MapServer/export?dpi=96&transparent=true&format=" +
select_format +
"&layers=show%3A" +
select_layers +
"&bbox=" +
xmin +
"," +
ymin +
"," +
xmax +
"," +
ymax +
"bboxSR=" +
sr +
"," +
"imageSR=" +
sr +
"size=" +
img_width +
"," +
img_height +
"&dpi=&f=image"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
