Clusters as pie charts

Explore in the sandboxView live

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
Use dark colors for code blocks
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
143
Add line.Add line.          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
                }
              }
            });

            // maps the field names for the popup chart
            const fieldNames = fieldInfos.map(field => {
              return field.fieldName
            });

            const popupTemplate = {
              content: [{
                type: "text",
                text: "This cluster represents <b>{cluster_count}</b> features."
              },
              {
                type: "media",
                mediaInfos: [{
                  title: "311 Reports",
                  type: "pie-chart",
                  value: {
                    fields: fieldNames
                  }
                }]
              },
              {
                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
Use dark colors for code blocksCopy
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
64
65
66
67
68
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
69
          layer.when()
            .then(generateClusterConfig)
            .then((featureReduction) => {

              layer.featureReduction = featureReduction;

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