Cluster size based on the sum of a field

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This sample demonstrates how to dynamically vary the size of point clusters based on the sum of a numeric attribute, rather than the average (the default behavior).

This is done by creating an AggregateField using the sum statistic type and referencing that field in a SizeVariable of a renderer. This renderer must be set on the FeatureReductionCluster.renderer property.

Resize clusters by sum
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        const clusterConfig = {
          type: "cluster",

          fields: [{
            name: "population_total",
            alias: "Total population",
            onStatisticField: "POP",
            statisticType: "sum"
          }],
          renderer: {
            type: "simple",
            symbol: {
              type: "simple-marker",
              style: "circle",
              color: symbolColor,
              size: 24,
              outline: {
                color: outlineColor,
                width: 1
              }
            },
            visualVariables: [
              {
                type: "size",
                field: "population_total",
                stops: [
                  { value: 0, size: 8 },
                  { value: 100, size: 12 },
                  { value: 10000, size: 18 },
                  { value: 50000000, size: 48 }
                ]
              }
            ]
          },

          clusterRadius: "120px",
          // {cluster_count} is an aggregate field containing
          // the number of features comprised by the cluster
          popupTemplate: {
            title: "Cluster summary",
            content: "This cluster represents {cluster_count} cities with a total population of <b>{population_total}</b>.",
            fieldInfos: [
              {
                fieldName: "cluster_count",
                format: {
                  places: 0,
                  digitSeparator: true
                }
              },
              {
                fieldName: "population_total",
                format: {
                  places: 0,
                  digitSeparator: true
                }
              }
            ]
          },
          labelingInfo: [
            {
              deconflictionStrategy: "none",
              labelExpressionInfo: {
                expression: `
                var value = $feature.population_total;
                var num = Count(Text(Round(value)));

                if(value == 0){
                  return "";
                }
                Decode(num,
                  4, Text(value / Pow(10, 3), "##.0k"),
                  5, Text(value / Pow(10, 3), "##k"),
                  6, Text(value / Pow(10, 3), "##k"),
                  7, Text(value / Pow(10, 6), "##m"),
                  8, Text(value / Pow(10, 6), "##m"),
                  9, Text(value / Pow(10, 6), "##m"),
                  10, Text(value / Pow(10, 6), "##m"),
                  Text(value, "#,###")
                )
                `
              },
              symbol: {
                type: "text",
                color: "white",
                font: {
                  weight: "bold",
                  family: "Noto Sans",
                  size: "12px"
                },
                haloColor: symbolColor,
                haloSize: 1
              },
              labelPlacement: "center-center"
            }
          ]
        };