clusterPoints: Identify clusters of points

In fasterRaster: Faster Raster and Spatial Vector Processing Using 'GRASS GIS'

Identify clusters of points

Description

clusterPoints() partitions points in a "points" GVector into clusters.

Usage

## S4 method for signature 'GVector'
clusterPoints(x, method = "DBSCAN", minIn = NULL, maxDist = NULL)

Arguments

x	A "points" GVector.
method	Character: Method used to identify clusters. Explanations of methods are provided in the help page for the GRASS module v.cluster, available using grassHelp("v.cluster"). "DBSCAN" (default): Density-Based Spatial Clustering of Applications with Noise. "DBSCAN2": A modification of DBSCAN. "density": Cluster points by relative density. "OPTICS": Ordering Points to Identify the Clustering Structure "OPTICS2": A modification of OPTICS. Case is ignored, but partial matching is not used.
minIn	Integer, numeric integer, or NULL (default): Minimum number of points in a cluster. If NULL, then minIn is set to 3 for a 2-dimensional vector and 4 for a 3-dimensional vector.
maxDist	Numeric or NULL (default): Maximum distance between neighboring points in a cluster for DBSCAN, DBSCAN2, and OPTICS. If NULL, the maximum distance will be set to the 99th quantile of observed pairwise distances between points.

Value

A vector of integers indicating the cluster to which each point belongs.

See Also

GRASS manual page for module v.cluster (see grassHelp("v.cluster"))

fasterRaster documentation built on June 8, 2025, 12:17 p.m.