In ArcGIS Online, multiple point features on a map are grouped based on their spatial distribution using the Find Point Clusters tool. For example, to identify fire activity distribution in an area, to find the epicenter of an earthquake, or to determine the source of spread of pest-borne diseases in an area.
This article describes how to group the closest fire hotspots so as to determine the largest clusters of fires in the Midwestern United States.
To use the Find Point Clusters tool, follow these steps:
Note: Running this tool consumes credits. Refer to ArcGIS Online: Understand credits for more information.
Note: Leaving this field blank causes the tool to run the Self-adjusting (HDBSCAN) algorithm, which uses varying distances to separate clusters of varying densities from sparser noise. On the other hand, entering a value causes it to run the Defined distance (DBSCAN) algorithm, which uses a specified distance to separate dense clusters from sparser noise. Refer to ArcGIS Pro: Density-based Clustering for more information.
Note: If the Use current map extent option is checked, only features in the input point layer of the current map extent are analyzed. If unchecked, all the features are analyzed, even though they fall outside the current map extent.
Note: To ascertain the number of credits consumed, click the Show credits option at the bottom of the Find Point Cluster pane.
The image below shows the fire point features grouped into different clusters by color.