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.

Clustering

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.

Clustering

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 Individual Values Theme

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.

Cluster Range Thematic Analysis

Cluster interactivity

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

Cluster Interactivity

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