Clusters as pie charts

This sample demonstrates how to represent clusters as pie charts. This is done by calling the createRendererForClustering method in the pieChart smart mapping module.

This method returns a list of aggregate fields and a renderer. Both of these objects must be set on the FeatureReductionCluster object for the charts to properly render.

Configure clustering
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          async function generateClusterConfig(layer){
            // generates default labelingInfo
            const { labelingInfo, clusterMinSize } = await clusterLabelCreator
              .getLabelSchemes({ layer, view })
              .then(labelSchemes => labelSchemes.primaryScheme );

            const labelSymbol = labelingInfo[0].symbol;
            labelSymbol.color = labelSymbol.haloColor.clone();
            labelSymbol.haloColor = [255,255,255,0.3];
            labelSymbol.font.size = 10;


            const { renderer, fields } = await pieChartRendererCreator
              .createRendererForClustering({
                layer,
                shape: "donut"
              });

            renderer.holePercentage = 0.66;

            const fieldInfos = fields.map( field => {
              return {
                fieldName: field.name,
                label: field.alias,
                format: {
                  places: 0,
                  digitSeparator: true
                }
              }
            });

            const popupTemplate = {
              content: [{
                type: "text",
                text: "This cluster represents <b>{cluster_count}</b> features."
              }, {
                type: "fields"
              }],
              fieldInfos
            }

            return {
              type: "cluster",
              popupTemplate,
              labelingInfo,
              clusterMinSize,

              fields,
              renderer

            };
          }

Clustering is enabled via the featureReduction property of the FeatureLayer.

Set generated cluster configuration
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          layer.when()
            .then(generateClusterConfig)
            .then((featureReduction) => {

              layer.featureReduction = featureReduction;

Clustering is a method of aggregating points in a FeatureLayer, CSVLayer, GeoJSONLayer, WFSLayer, or OGCFeatureLayer by grouping them in clusters defined by screen space.

Image preview of related sample Point clustering - basic configuration

Point clustering - basic configuration

Point clustering - basic configuration

Image preview of related sample Override cluster symbol

Override cluster symbol

Override cluster symbol

Image preview of related sample Cluster size based on the sum of a field

Cluster size based on the sum of a field

Cluster size based on the sum of a field

Image preview of related sample Point clustering - query clusters

Point clustering - query clusters

Point clustering - query clusters

Image preview of related sample Point clustering - advanced configuration

Point clustering - advanced configuration

Point clustering - advanced configuration

Image preview of related sample Popup charts for point clusters

Popup charts for point clusters

This sample demonstrates how to summarize clustered features using charts within a cluster's popup.

FeatureReductionCluster

Read the API Reference for more information.

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