# datasette-geojson
[](https://pypi.org/project/datasette-geojson/)
[](https://github.com/eyeseast/datasette-geojson/releases)
[](https://github.com/eyeseast/datasette-geojson/actions?query=workflow%3ATest)
[](https://github.com/eyeseast/datasette-geojson/blob/main/LICENSE)
Add GeoJSON as an output option for datasette queries.
## Installation
Install this plugin in the same environment as Datasette.
datasette install datasette-geojson
## Usage
To render GeoJSON, add a `.geojson` extension to any query URL that includes a `geometry` column. That column should be a valid [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1).
For example, you might use [geojson-to-sqlite](https://pypi.org/project/geojson-to-sqlite/) or [shapefile-to-sqlite](https://pypi.org/project/shapefile-to-sqlite/) to load [neighborhood boundaries](https://bostonopendata-boston.opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0/explore) into a SQLite database.
```sh
wget -O neighborhoods.geojson https://opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0.geojson
geojson-to-sqlite boston.db neighborhoods neighborhoods.geojson --spatial-index # create a spatial index
datasette serve boston.db --load-extension spatialite
```
If you're using Spatialite, the geometry column will be in a binary format. If not, make sure the `geometry` column is a well-formed [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1). If you used `geojson-to-sqlite` or `shapefile-to-sqlite`, you should be all set.
Run this query in Datasette and you'll see a link to download GeoJSON:
```sql
select
rowid,
OBJECTID,
Name,
Acres,
Neighborhood_ID,
SqMiles,
ShapeSTArea,
ShapeSTLength,
geometry
from
neighborhoods
order by
rowid
limit
101
```
Note that the geometry column needs to be explicitly _named_ `geometry` or you won't get the option to export GeoJSON. If you want to use a different column, rename it with `AS`: `SELECT other AS geometry FROM my_table`.
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-geojson
python3 -mvenv venv
source venv/bin/activate
Or if you are using `pipenv`:
pipenv shell
Now install the dependencies and tests:
pip install -e '.[test]'
To run the tests:
pytest
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"description": "# datasette-geojson\n\n[](https://pypi.org/project/datasette-geojson/)\n[](https://github.com/eyeseast/datasette-geojson/releases)\n[](https://github.com/eyeseast/datasette-geojson/actions?query=workflow%3ATest)\n[](https://github.com/eyeseast/datasette-geojson/blob/main/LICENSE)\n\nAdd GeoJSON as an output option for datasette queries.\n\n## Installation\n\nInstall this plugin in the same environment as Datasette.\n\n datasette install datasette-geojson\n\n## Usage\n\nTo render GeoJSON, add a `.geojson` extension to any query URL that includes a `geometry` column. That column should be a valid [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1).\n\nFor example, you might use [geojson-to-sqlite](https://pypi.org/project/geojson-to-sqlite/) or [shapefile-to-sqlite](https://pypi.org/project/shapefile-to-sqlite/) to load [neighborhood boundaries](https://bostonopendata-boston.opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0/explore) into a SQLite database.\n\n```sh\nwget -O neighborhoods.geojson https://opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0.geojson\ngeojson-to-sqlite boston.db neighborhoods neighborhoods.geojson --spatial-index # create a spatial index\ndatasette serve boston.db --load-extension spatialite\n```\n\nIf you're using Spatialite, the geometry column will be in a binary format. If not, make sure the `geometry` column is a well-formed [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1). If you used `geojson-to-sqlite` or `shapefile-to-sqlite`, you should be all set.\n\nRun this query in Datasette and you'll see a link to download GeoJSON:\n\n```sql\nselect\n rowid,\n OBJECTID,\n Name,\n Acres,\n Neighborhood_ID,\n SqMiles,\n ShapeSTArea,\n ShapeSTLength,\n geometry\nfrom\n neighborhoods\norder by\n rowid\nlimit\n 101\n```\n\nNote that the geometry column needs to be explicitly _named_ `geometry` or you won't get the option to export GeoJSON. If you want to use a different column, rename it with `AS`: `SELECT other AS geometry FROM my_table`.\n\n\n\n## Development\n\nTo set up this plugin locally, first checkout the code. Then create a new virtual environment:\n\n cd datasette-geojson\n python3 -mvenv venv\n source venv/bin/activate\n\nOr if you are using `pipenv`:\n\n pipenv shell\n\nNow install the dependencies and tests:\n\n pip install -e '.[test]'\n\nTo run the tests:\n\n pytest\n",
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