Binning with aggregate fields

This sample demonstrates how to enable binning on a FeatureLayer and aggregate numeric attributes to use in the renderer, popupTemplate and labels of the bins.

Binning is a method of aggregating points in a FeatureLayer, CSVLayer, GeoJSONLayer, WFSLayer, or OGCFeatureLayer by grouping them in predefined bins. Bins are generated using geohashes.

Aggregate fields are defined in the fields property of the FeatureReductionBinning class. Once defined, these fields may be used in the renderer, labels, and popup of the bins. The lines highlighted in green in the snippet below show how aggregate fields are defined. Lines highlighted in blue show where these fields are used.

Define aggregate fields
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      const featureReduction = {
        type: "binning",
        fixedBinLevel: 6,

        fields: [
          new AggregateField({
            name: "aggregateCount",
            statisticType: "count"
          }),
          new AggregateField({
            name: "SUM_PERSONS_INJURED",
            alias: "Total number of persons injured",
            onStatisticField: "NUMBER_OF_PERSONS_INJURED",
            statisticType: "sum"
          }),
          new AggregateField({
            name: "SUM_PEDESTRIANS_INJURED",
            alias: "Number of pedestrians injured",
            onStatisticField: "NUMBER_OF_PEDESTRIANS_INJURED",
            statisticType: "sum"
          }),
          new AggregateField({
            name: "SUM_CYCLIST_INJURED",
            alias: "Number of cyclists injured",
            onStatisticField: "NUMBER_OF_CYCLIST_INJURED",
            statisticType: "sum"
          }),
          new AggregateField({
            name: "SUM_MOTORIST_INJURED",
            alias: "Number of cyclists injured",
            onStatisticField: "NUMBER_OF_MOTORIST_INJURED",
            statisticType: "sum"
          }),
          new AggregateField({
            name: "AVG_MOTORIST_INJURED",
            alias: "Ratio of motorist injuries to crashes",
            onStatisticField: "NUMBER_OF_MOTORIST_INJURED",
            statisticType: "avg"
          }),
          new AggregateField({
            name: "SUM_KILLED",
            alias: "Total fatalities",
            onStatisticField: "NUMBER_OF_PERSONS_KILLED",
            statisticType: "sum"
          }),
        ],

        labelsVisible: true,
        labelingInfo: [
          new LabelClass({
            minScale: 36112,
            maxScale: 0,
            deconflictionStrategy: "none",
            symbol: {
              type: "text",  // autocasts as new TextSymbol()
              color: "white",
              font: {
                family: "Noto Sans",
                size: 12,
                weight: "bold"
              },
              haloColor: colors[4],
              haloSize: 0.5
            },
            labelExpressionInfo: {
              expression: "Text($feature.AVG_MOTORIST_INJURED, '#%')"
            }
          })
        ],
        popupEnabled: true,
        popupTemplate: {
          title: "Crash summary",
          content: [{
            type: "text",
            text: "{aggregateCount} car crashes occurred in this area."
          }, {
            type: "fields",
            fieldInfos: [{
              fieldName: "aggregateCount",
              label: "Total crashes",
              format: {
                places: 0,
                digitSeparator: true
              }
            }, {
              fieldName: "SUM_PERSONS_INJURED",
              label: "Total injured",
              format: {
                places: 0,
                digitSeparator: true
              }
            }, {
              fieldName: "SUM_PEDESTRIANS_INJURED",
              label: "Pedestrians injured"
            }, {
              fieldName: "SUM_CYCLIST_INJURED",
              label: "Cyclists injured"
            }, {
              fieldName: "SUM_MOTORIST_INJURED",
              label: "Motorists injured"
            }, {
              fieldName: "SUM_KILLED",
              label: "Total killed"
            }]
          }]
        },
        renderer: {
          type: "simple",
          symbol: {
            type: "simple-marker",
            color: [0, 255, 71, 1],
            outline: null,
            outline: {
              color: "rgba(153, 31, 23, 0.3)",
              width: 0.3,
            },
          },
          visualVariables: [
            {
              type: "size",
              field: "aggregateCount",
              legendOptions: {
                title: "Total crashes"
              },
              minSize: {
                type: "size",
                valueExpression: "$view.scale",
                stops: [
                  { value: 18055, size: 18 },
                  { value: 36111, size: 12 },
                  { value: 72223, size: 8 },
                  { value: 144447, size: 4 },
                  { value: 288895, size: 2 },
                  { value: 577790, size: 1 },
                ]
              },
              maxSize: {
                type: "size",
                valueExpression: "$view.scale",
                stops: [
                  { value: 18055, size: 48 },
                  { value: 36111, size: 32 },
                  { value: 72223, size: 24 },
                  { value: 144447, size: 18 },
                  { value: 288895, size: 12 },
                  { value: 577790, size: 6 },
                ]
              },
              minDataValue: 10,
              maxDataValue: 300
            },
            {
              type: "color",
              field: "AVG_MOTORIST_INJURED",
              legendOptions: {
                title: "% of motorists injured per crash"
              },
              stops: [
                { value: 0, color: colors[0], label: "No injuries" },
                { value: 0.1, color: colors[1] },
                { value: 0.3, color: colors[2], label: "30%" },
                { value: 0.5, color: colors[3] },
                { value: 0.75, color: colors[4], label: ">75%" }
              ]
            }
          ]
        }
      };
Image preview of related sample Intro to binning

Intro to binning

Aggregate points to bins to visualize their density.

Image preview of related sample Binning - Filter by category

Binning - Filter by category

Demonstrates how to filter binned data by category.

Image preview of related sample Summarize binned data using Arcade

Summarize binned data using Arcade

Use Arcade in popups to summarize binned crimes by type

FeatureReductionBinning

Read the API Reference for more information.

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