Metadata-Version: 2.1
Name: datasette-geojson-map
Version: 0.2.1
Summary: Render a map for any query with a geometry column
Home-page: https://github.com/eyeseast/datasette-geojson-map
Author: Chris Amico
License: Apache License, Version 2.0
Project-URL: Issues, https://github.com/eyeseast/datasette-geojson-map/issues
Project-URL: CI, https://github.com/eyeseast/datasette-geojson-map/actions
Project-URL: Changelog, https://github.com/eyeseast/datasette-geojson-map/releases
Description: # datasette-geojson-map
        
        [![PyPI](https://img.shields.io/pypi/v/datasette-geojson-map.svg)](https://pypi.org/project/datasette-geojson-map/)
        [![Changelog](https://img.shields.io/github/v/release/eyeseast/datasette-geojson-map?include_prereleases&label=changelog)](https://github.com/eyeseast/datasette-geojson-map/releases)
        [![Tests](https://github.com/eyeseast/datasette-geojson-map/workflows/Test/badge.svg)](https://github.com/eyeseast/datasette-geojson-map/actions?query=workflow%3ATest)
        [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/eyeseast/datasette-geojson-map/blob/main/LICENSE)
        
        Render a map for any query with a geometry column
        
        ## Installation
        
        Install this plugin in the same environment as Datasette.
        
            $ datasette install datasette-geojson-map
        
        ## Usage
        
        Start by loading a GIS file.
        
        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
        ```
        
        (The command above uses Spatialite, but that's not required.)
        
        Start up `datasette` and navigate to the `neighborhoods` table.
        
        ```sh
        datasette serve boston.db --load-extension spatialite
        
        # in another terminal tab
        open http://localhost:8001/boston/neighborhoods
        ```
        
        You should see a map centered on Boston with each neighborhood outlined. Clicking a boundary will bring up a popup with details on that feature.
        
        ![Boston neighbhorhoods map](img/boston-neighborhoods-map.png)
        
        This plugin relies on (and will install) [datasette-geojson](https://github.com/eyeseast/datasette-geojson). Any query that includes a `geometry` column will produce a map of the results. This also includes single row views.
        
        ## Development
        
        To set up this plugin locally, first checkout the code. Then create a new virtual environment:
        
            cd datasette-geojson-map
            python3 -mvenv venv
            source venv/bin/activate
        
        Or if you are using `pipenv`:
        
            pipenv shell
        
        Now install the dependencies and test dependencies:
        
            pip install -e '.[test]'
        
        To run the tests:
        
            pytest
        
        ```
        
        ```
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
