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Generate groups based on balanced clustering

Source: R/gridding.R
par_make_balanced.Rd

For balancing computational loads, the function uses the anticlust package to cluster the input points. The number of clusters is determined by the num_cluster argument. Each cluster will have equal number of points. Grids will be generated based on the cluster extents. At the lower level, the function uses terra::distance() function to calculate the Euclidean distance between points.

Usage

par_make_balanced(points_in = NULL, n_clusters = NULL)

Arguments

points_in

sf or SpatVector object. Target points of computation.

n_clusters

integer(1). The number of clusters.

Value

SpatVector object with a field "CGRIDID".

Note

This function is only for two-dimensional points. The results will be irregular grids with or without overlapping parts.

Author

Insang Song

Examples

if (FALSE) { # \dontrun{
library(terra)
library(anticlust)
data(ncpoints, package = "chopin")

ncp <- terra::vect(
  ncpoints, geom = c("X", "Y"),
  keepgeom = FALSE, crs = "EPSG:5070"
)

# 2,304 points / 12 = 192 points per cluster
ncpbal <- par_make_balanced(ncp, 12)
ncpbal
} # }