Note: Support for 3D on mobile devices may vary, view the system requirements for more information.

This sample demonstrates how point clustering can be used to group points into clusters based on their spatial proximity to one another. Clustering is enabled on the layer's featureReduction property.

Since featureReduction is independent of the renderer, the symbol and popupTemplate of each cluster graphic can be used to summarize features within the cluster. See Clustering styles and configurations for more information about the various ways clusters can summarize the points they represent.

The layer's renderer in this sample visualizes weather data with three visual variables, each representing a different attribute:

• Color: TEMP
• Size: WIND_SPEED
• Rotation: WIND_DIRECT

The renderer object looks like the the following:

layer.renderer = {
  type: "simple", // autocasts as new SimpleRenderer()
  symbol: {
    type: "simple-marker", // autocasts as new SimpleMarkerSymbol()
    path: "M14.5,29 23.5,0 14.5,9 5.5,0z",
    color: [50, 50, 50],
    outline: {
      color: [0, 0, 0, 0.7],
      width: 0.5
    },
    angle: 180,
    size: 15
  },
  visualVariables: [
    {
      type: "rotation",
      field: "WIND_DIRECT",
      rotationType: "geographic"
    },
    {
      type: "size",
      field: "WIND_SPEED",
      minDataValue: 0,
      maxDataValue: 60,
      minSize: 8,
      maxSize: 40
    },
    {
      type: "color",
      field: "TEMP",
      stops: [
        { value: 20, color: "#2b83ba" },
        { value: 35, color: "#abdda4" },
        { value: 50, color: "#ffffbf" },
        { value: 65, color: "#fdae61" },
        { value: 80, color: "#d7191c" }
      ]
    }
  ]
};

To enable clustering on the layer, you simply have to set the featureReduction property to type cluster,

layer.featureReduction = {
  type: "cluster"
};

This will cluster the points using the default clusterRadius (80px), and assign a symbol to each cluster conforming to the visualVariables in the renderer in the following manner:

• Color: average TEMP of all features in the cluster
• Size: average WIND_SPEED of all features in the cluster
• Rotation: average WIND_DIRECT of all features in the cluster

No feature reduction	Clustered features
	)

If a UniqueValueRenderer were used, the symbol of the predominant uniqueValueInfo among the features in the cluster would be used to represent the cluster.

To provide more meaning to the app, you can configure a popupTemplate to display the average values of all the fields used by the renderer when the user clicks or taps the cluster.

layer.featureReduction = {
  type: "cluster",
  popupTemplate: {
    content: [{
      type: "text",
      text: "This cluster represents <b>{cluster_count}</b> weather stations."
    }, {
      type: "fields",
      fieldInfos: [{
        fieldName: "cluster_avg_WIND_SPEED",
        label: "Average wind speed (km/h)",
        format: {
          places: 0
        }
      }, {
        fieldName: "cluster_avg_WIND_DIRECT",
        label: "Average wind direction (degrees)",
        format: {
          places: 0
        }
      }, {
        fieldName: "cluster_avg_TEMP",
        label: "Average temperature (°F)",
        format: {
          places: 0
        }
      }]
    }]
  }
};

Related samples and resources

• Point clustering
• Filter clustered points
• Filter clustered points with a slider
• API reference - FeatureReductionCluster