CARTO for deck.gl

CARTO for deck.gl

Heatmap Layer

This example shows how to use the HeatmapLayer to visualize the spatial distribution of data.

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<html>
  <head>
    <script src="https://unpkg.com/deck.gl@^8.4.0/dist.min.js"></script>
    <script src="https://unpkg.com/@deck.gl/carto@^8.4.0/dist.min.js"></script>
    
    <script src="https://libs.cartocdn.com/mapbox-gl/v1.13.0/mapbox-gl.js"></script>
    <link href="https://libs.cartocdn.com/mapbox-gl/v1.13.0/mapbox-gl.css" rel="stylesheet" />
  </head>

  <body style="margin: 0; padding: 0">
    <div id="map" style="width: 100vw; height: 100vh"></div>
  </body>

  <script type="text/javascript">
    async function initialize() {
      deck.carto.setDefaultCredentials({
        username: 'public',
        apiKey: 'default_public',
      });

      // Fetch Data from CARTO
      // Notice that you can use any deck.gl layer with CARTO datasets getting GeoJSON data from CARTO's API.
      const url = 'https://public.carto.com/api/v2/sql?q=SELECT the_geom, weight FROM uber_pickup_locations&format=geojson';
      const geojsonData = await fetch(url).then(response => response.json());

      // Create Deck.GL map
      const deckgl = new deck.DeckGL({
        container: 'map',
        mapStyle: 'https://basemaps.cartocdn.com/gl/dark-matter-gl-style/style.json',
        initialViewState: {
          longitude: -73.95,
          latitude: 40.73,
          zoom: 10.5,
          maxZoom: 16
        },
        controller: true,
        layers: [
          new deck.HeatmapLayer({
            id: 'heatmap-layer',
            data: geojsonData.features,
            pickable: false,
            opacity: 0.8,
            getPosition: d => d.geometry.coordinates,
            getWeight: d => d.properties.weight,
            radiusPixels: 35,
            intensity: 1,
            threshold: 0.3
          })
        ]
      });
    }

    initialize();    
  </script>
</html>