Display point layers with clustering
Simplify the presentation of your large layers of points with clustering. Clusters include meaningful colors (pies) that are based on a layer’s thematic data.
Map features of a point layer can be displayed as data clusters to facilitate the interpretation of very dense layers. A single circle replaces points that are located near each other. The number shown on each circle corresponds to the number of points clustered. The size of each cluster is adjusted dynamically to bring out the most important clusters. This technique allows you to simplify the presentation of layers that can contain millions of points.
Cluster – Individual values
When a thematic analysis by category is added to a clustered layer, the clusters are displayed as pie charts, where each pie slice represent a category in the data.
Cluster – Range of values
When a thematic analysis by range of values is added to a clustered layer, the clusters are displayed as pie charts, where each pie slice represent a range in the data.
Layers that are clustered react to the same events, and you can use the map querying and selection tools to interact with the data. When you mouse over a cluster, a datatip is displayed with the following info
Total count of points clustered
Sum, average, minimum or maximum value of a numeric thematic data
Distribution of each category or range of thematic data
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