Cluster weighted Heat Map

This sample shows how to create a heat map that uses clustering on the data source to improve performance for large data sets. This is accomplished by turning on clustering on the data source and setting the heat map weight to ['get', 'point_count']. When the cluster radius is small, the heat map will look nearly identical to a heat map using the unclustered data points but will perform much better. However, the smaller the cluster radius, the more accurate the heat map will be but with less of a performance benefit.