23 lines
1.2 KiB
Bash
23 lines
1.2 KiB
Bash
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#!/bin/sh
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curl --silent --output nps_boundary_geojson.zip http://gstore.unm.edu/apps/rgisarchive/datasets/7bbe8af5-029b-4adf-b06c-134f0dd57226/nps_boundary.derived.geojson
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unzip nps_boundary_geojson.zip nps_boundary.geojson
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rm nps_boundary_geojson.zip
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# for resolution in 20m 5m; do
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# curl --silent --remote-name https://www2.census.gov/geo/tiger/GENZ2022/shp/cb_2022_us_county_${resolution}.zip
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# unzip cb_2022_us_county_${resolution}.zip
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# ogr2ogr -f GeoJSON us-counties-${resolution}.geojson cb_2022_us_county_${resolution}.shp
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# sed -i '/^"crs":/d' us-counties-${resolution}.geojson # TODO: handle this projection properly
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# rm cb_2022_us_county_${resolution}.*
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# # python cleanup_data.py us-counties-${resolution}.geojson # Only needed for KML files
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# done
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# https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=Original+Proclaimed+National+Forests
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curl --silent --remote-name https://data.fs.usda.gov/geodata/edw/edw_resources/shp/S_USA.ProclaimedForest.zip
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unzip S_USA.ProclaimedForest.zip
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ogr2ogr -f GeoJSON us-national-forests.geojson S_USA.ProclaimedForest.shp
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sed -i '/^"crs":/d' us-national-forests.geojson # TODO: handle this projection properly
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rm S_USA.ProclaimedForest.*
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# TODO: some kind of cleanup to save space?
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