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Heatmap | Overview | ArcGIS Maps SDK for JavaScript 4.33

Fatal car crashes in 2017 represented as a continuous heatmap. Areas with higher concentrations of crashes are yellow.

A Heatmap renders point features as a raster surface, emphasizing areas with a higher density of points along a continuous color ramp.

Heatmaps can be used as an alternative to clustering, opacity, and bloom to visualize overlapping point features. Unlike these alternative techniques for visualizing density, you can use a heatmap to weight the density of points based on a data value. This may reveal a different pattern than density calculated using location alone.

Heatmaps are created by setting a HeatmapRenderer instance to the renderer property of the layer. The HeatmapRenderer has several key properties. The radius determines the area of influence surrounding a point. For example, if you set a radius of 10 pixels, each pixel within 10 pixels of a single point will be assigned a density value. The pixel directly on top of the point will have the highest density. Smaller density values are assigned to pixels surrounding the point inversely proportional to the distance from the point. Pixels on the screen that fall outside that 10-pixel radius of all points will have a density value of 0.

The density value of each pixel accumulates based on its proximity to multiple points. For example, a pixel within 10px of 10 points, will have a higher density value than pixels within 10x of only one point.

The colorStops in the renderer determine how to colorize pixels based on the ratio of a pixel's density value to the maxDensity (i.e. pixel density / maxDensity). Pixels with a density value at or above the maxDensity have a density ratio of 1 and should be assigned the brightest color since these represent the hottest areas. The larger the maxDensity, the fewer hot spots will exist in the map.

To create a heatmap, you must apply a HeatmapRenderer to a point layer. Set the renderer properties using the guidelines outlined above. Open this example in CodePen and adjust the radius and maxDensity to see how these properties impact the heatmap.

Density of car crashes that resulted in a fatality (2017). Yellow areas indicate the highest density of crash incidents.

ArcGIS JS API

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      const colors = [
        "rgba(115, 0, 115, 0)",
        "#820082",
        "#910091",
        "#a000a0",
        "#af00af",
        "#c300c3",
        "#d700d7",
        "#eb00eb",
        "#ff00ff",
        "#ff58a0",
        "#ff896b",
        "#ffb935",
        "#ffea00",
      ];

      layer.renderer = {
        type: "heatmap",
        colorStops: [
          { color: colors[0], ratio: 0 },
          { color: colors[1], ratio: 0.083 },
          { color: colors[2], ratio: 0.166 },
          { color: colors[3], ratio: 0.249 },
          { color: colors[4], ratio: 0.332 },
          { color: colors[5], ratio: 0.415 },
          { color: colors[6], ratio: 0.498 },
          { color: colors[7], ratio: 0.581 },
          { color: colors[8], ratio: 0.664 },
          { color: colors[9], ratio: 0.747 },
          { color: colors[10], ratio: 0.83 },
          { color: colors[11], ratio: 0.913 },
          { color: colors[12], ratio: 1 },
        ],
        radius: 18,
        maxDensity: 0.04625,
        minDensity: 0,
      };

This example modifies the previous heatmap to weight the surface by a data variable. The crashes layer used in this example has an attribute that tallies the number of drunk drivers involved in the incident. We can visualize where more drunk drivers are involved in fatal accidents by weighting by that field.

When a field is specified, each pixel's density is multiplied by the data value, so you need to adjust the maxDensity accordingly.

Density of car crashes involving drunk drivers that resulted in a fatality (2017). Yellow areas indicate the highest density of crash incidents.

ArcGIS JS API

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      const colors = [
        "rgba(115, 0, 115, 0)",
        "#820082",
        "#910091",
        "#a000a0",
        "#af00af",
        "#c300c3",
        "#d700d7",
        "#eb00eb",
        "#ff00ff",
        "#ff58a0",
        "#ff896b",
        "#ffb935",
        "#ffea00",
      ];

      layer.renderer = {
        type: "heatmap",

        field: "Number_of_Drinking_Drivers",

        colorStops: [
          { color: colors[0], ratio: 0 },
          { color: colors[1], ratio: 0.083 },
          { color: colors[2], ratio: 0.166 },
          { color: colors[3], ratio: 0.249 },
          { color: colors[4], ratio: 0.332 },
          { color: colors[5], ratio: 0.415 },
          { color: colors[6], ratio: 0.498 },
          { color: colors[7], ratio: 0.581 },
          { color: colors[8], ratio: 0.664 },
          { color: colors[9], ratio: 0.747 },
          { color: colors[10], ratio: 0.83 },
          { color: colors[11], ratio: 0.913 },
          { color: colors[12], ratio: 1 },
        ],
        radius: 18,

        maxDensity: 0.00875,

        minDensity: 0,
      };

Dynamic heatmaps are only visually appropriate at a few scale levels. As the user zooms out, the heatmap will always appear hotter. As the user zooms in, the heatmap will appear colder. To prevent the user from viewing a heatmap that is too hot, you can set a minScale on the layer or as a view constraint.

As the user zooms in, the heatmap becomes irrelevant. Therefore, you should set a watch on the view to toggle the layer's heatmap to a simple renderer representing individual point locations.

Density of crimes classified as fraud in San Diego California. Zoom in and out on the map to view how the developer can restrict the user from seeing a heatmap that is too hot or too cold. As the user zooms in, the heatmap toggles off and displays the point locations as a simple renderer.

Set a constraint on map view scale to avoid hot heatmaps

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      const view = new MapView({
        container: "viewDiv",
        map: map,
        constraints: {
          minScale: 1155582,
          snapToZoom: false,
        },
      });

Switch to a location renderer after zooming beyond a scale threshold

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        reactiveUtils.watch(
          () => view.scale,
          () => {
            layer.renderer = view.scale <= 72224 ? simpleRenderer : heatmapRenderer;
          },
        );

Static heatmaps allow you to persist the visual density's of a heatmap from one scale across all scale levels. As the user zooms in and out, the heatmap will consistently show the same hot spots in the view.

As the user zooms in, the heatmap becomes irrelevant, so you may want to set a constraint on the MapView to prevent overzooming.

Density of trees in New York City (2015). Zoom in and out to observe how a static heatmap may be a more attractive solution to highlighting areas of high density.

ArcGIS JS API

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        maxDensity: 0.319,
        minDensity: 0,
        // settings for heatmap apply only to this scale
        // so renderer will look consistent without
        // dynamically updating on zoom

        referenceScale: 36111,

        radius: 6,
        legendOptions: {
          minLabel: "Low tree density",
          maxLabel: "High tree density",
        },
      };

Configuring a heatmap renderer with proper density values can be difficult, especially when the starting view scale is unknown. The heatmap smart mapping renderer creator helps generate a suggested heatmap given the current view scale and background color.

It also automatically fades colors from dense areas (full opacity) to sparse areas (high transparency). The fading of colors helps establish a fuzzy boundary, which is often more appropriate than a hard edge for heatmap visualizations.

Density of crimes in Chicago. Notice how this generated heatmap automatically fades colors so the boundaries become more fuzzy.

ArcGIS JS API

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        const { renderer } = await heatmapRendererCreator.createRenderer({ layer, view });
        renderer.referenceScale = view.scale;
        layer.renderer = renderer;

The following table describes the geometry and view types that are suited well for each visualization technique.

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