json-to-geo

Convert JSON objects into GeoJSON features.

Usage no npm install needed!

<script type="module">
  import jsonToGeo from 'https://cdn.skypack.dev/json-to-geo';
</script>

README

json-to-geo

Convert JSON objects into GeoJSON features.

Example

➜ cat test/fixtures/foursquare-venues.json |
    json-to-geo --path 'response.venues.*'
        --lng 'location.lng' --lat 'location.lat' |
    nd-geojson | geojsonio

Opens geojson.io with pins for every venue returned by Foursquare Venues API. Note: nd-geojson wraps line-delimited GeoJSON features in a FeatureCollection.

➜ cat test/fixtures/foursquare-venues.json |
    json-to-geo --path 'response.venues.*'
        --lng 'location.lng' --lat 'location.lat' |
    tippecanoe -o venues

Build vector tiles with tippecanoe.

Install

npm install -g json-to-geo

How it works

Input:

{
    "meta": {
        "code": 200,
        "requestId": "57c63303498e78d449981c2c"
    },
    "response": {
        "venues": [{
            "id": "430d0a00f964a5203e271fe3",
            "name": "Brooklyn Bridge Park",
            "location": {
                "address": "Main St",
                "crossStreet": "Plymouth St",
                "lat": 40.70303245363086,
                "lng": -73.99389265510275
            }
        }, {
            "id": "51eabef6498e10cf3aea7942",
            "name": "Brooklyn Bridge Park - Pier 2",
            "contact": {},
            "location": {
                "address": "Furman St",
                "crossStreet": "Brooklyn Bridge Park Greenway",
                "lat": 40.69957016220183,
                "lng": -73.99793274204788
            }
        }]
    }
}

Output:

[{
    "type": "Feature",
    "geometry": {
        "type": "Point",
        "coordinates": [-73.99389265510277, 40.703032453630854]
    },
    "properties": {
        "id": "430d0a00f964a5203e271fe3",
        "name": "Brooklyn Bridge Park",
        "location": {
            "address": "Main St",
            "crossStreet": "Plymouth St",
            "lat": 40.703032453630854,
            "lng": -73.99389265510277
        }
    }
}, {
    "type": "Feature",
    "geometry": {
        "type": "Point",
        "coordinates": [-73.9979327420479, 40.69957016220184]
    },
    "properties": {
        "id": "51eabef6498e10cf3aea7942",
        "name": "Brooklyn Bridge Park - Pier 2",
        "location": {
            "address": "Furman St",
            "crossStreet": "Brooklyn Bridge Park Greenway",
            "lat": 40.69957016220184,
            "lng": -73.9979327420479
        }
    }
}]

In the box:

  • An accessor function: You can specify an accessor function to extract coordinates from custom locations, or leave this empty and let the module look for common property names.
  • Path to feature objects: If the array of objects is in a deep property, you can specify a path string, e.g. response.rows.*. See JSONStream for more info.
  • Streaming interface: For fast command-line pipelines.
  • Support for new-line delimited JSON: Set the flag --ndj to parse a stream of objects delimited by \n characters.

Usage:

See example.js or run json-to-geo -h.

From Javascript:

var jg = require('json-to-geo');
var rs = fs.createReadStream(__dirname + '/test/fixtures/foursquare-venues.json');
jg.transform({
  readable: rs,
  path: 'response.venues.*',
  getCoordinates: jg.buildAccessor('location.lng', 'location.lat')
}).pipe(process.stdout);

From the command-line

% cat file.json | json-to-geo