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Add example
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@@ -615,3 +615,60 @@ resolutions.
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* `-c` or `--tag-layer-and-zoom`: Include each feature's layer and zoom level as part of its `tippecanoe` object rather than as a FeatureCollection wrapper
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* `-c` or `--tag-layer-and-zoom`: Include each feature's layer and zoom level as part of its `tippecanoe` object rather than as a FeatureCollection wrapper
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* `-S` or `--stats`: Just report statistics about each tile's size and the number of features in it, as a JSON structure.
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* `-S` or `--stats`: Just report statistics about each tile's size and the number of features in it, as a JSON structure.
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* `-f` or `--force`: Decode tiles even if polygon ring order or closure problems are detected
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* `-f` or `--force`: Decode tiles even if polygon ring order or closure problems are detected
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tippecanoe-json-tool
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====================
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Extracts GeoJSON features or standalone geometries as line-delimited JSON objects from a larger JSON file,
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following the same extraction rules that Tippecanoe uses when parsing JSON.
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tippecanoe-json-tool file.json [... file.json]
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Optionally also wraps them in a FeatureCollection or GeometryCollection as appropriate.
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Optionally extracts an attribute from the GeoJSON `properties` for sorting.
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Optionally joins a sorted CSV of new attributes to a sorted GeoJSON file.
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The reason for requiring sorting is so that it is possible to work on CSV and GeoJSON files that are larger
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than can comfortably fit in memory by streaming through them in parallel, in the same way that the Unix
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`join` command does. The Unix `sort` command can be used to sort large files to prepare them for joining.
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### Options
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* `-w` or `--wrap`: Add the FeatureCollection or GeometryCollection wrapper.
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* `-e` *attribute* or `--extract=`*attribute*: Extract the named attribute
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* `-c` *file.csv* or `--csv=`*file.csv*: Join properties from the named sorted CSV file, using its first column as the join key.
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### Example
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Join Census LEHD ([Longitudinal Employer-Household Dynamics]) employment data to a file of Census block geography
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for Tippecanoe County, Indiana.
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Download Census block geometry, and convert to GeoJSON:
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```
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$ curl -L -O https://www2.census.gov/geo/tiger/TIGER2010/TABBLOCK/2010/tl_2010_18157_tabblock10.zip
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$ unzip tl_2010_18157_tabblock10.zip
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$ ogr2ogr -f GeoJSON tl_2010_18157_tabblock10.json tl_2010_18157_tabblock10.shp
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```
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Download employment data, and fix name of join key in header
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```
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$ curl -L -O https://lehd.ces.census.gov/data/lodes/LODES7/in/wac/in_wac_S000_JT00_2015.csv.gz
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$ gzip -dc in_wac_S000_JT00_2015.csv.gz | sed '1s/w_geocode/GEOID10/' > in_wac_S000_JT00_2015.csv
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```
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Sort GeoJSON block geometry so it is ordered by block ID. If you don't do this, you will get a
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"GeoJSON file is out of sort" error.
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```
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$ tippecanoe-json-tool -e GEOID10 tl_2010_18157_tabblock10.json | LC_ALL=C sort > tl_2010_18157_tabblock10.sort.json
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```
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Join block geometries to employment properties:
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```
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$ tippecanoe-json-tool -c in_wac_S000_JT00_2015.csv tl_2010_18157_tabblock10.sort.json > blocks-wac.json
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```
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