See also
Constructors
Functions
Properties
If the data is a collection of point features, setting this to true clusters the points by radius into groups. Cluster groups become new Point features in the source with additional properties:
clusterIstrueif the point is a clustercluster_idA unqiue id for the cluster to be used in conjunction with the cluster inspection methodspoint_countNumber of original points grouped into this clusterpoint_count_abbreviatedAn abbreviated point count
Max zoom on which to cluster points if clustering is enabled. Defaults to one zoom less than maxzoom (so that last zoom features are not clustered). Clusters are re-evaluated at integer zoom levels so setting clusterMaxZoom to 14 means the clusters will be displayed until z15.
An object defining custom properties on the generated clusters if clustering is enabled, aggregating values from clustered points. Has the form {"property_name": [operator, map_expression]}. operator is any expression function that accepts at least 2 operands (e.g. "+" or "max") — it accumulates the property value from clusters/points the cluster contains; map_expression produces the value of a single point.
Example: {"sum": ["+", ["get", "scalerank"]]}.
For more advanced use cases, in place of operator, you can use a custom reduce expression that references a special ["accumulated"] value, e.g.: {"sum": [["+", ["accumulated"], ["get", "sum"]], ["get", "scalerank"]]}
Whether to calculate line distance metrics. This is required for line layers that specify line-gradient values.