Make spatial partitions (using k-means clustering)

Divides a spatial sample of polygons into irregularly shaped spatial partitions using k-means clustring. It uses the spatial coordinates defined by the polygon centroids.

spcvFoldsPoly(x, n_folds = 5, seed_cv = 11082017)

Arguments

x	A SpatialPolygonsDataframe
n_folds	The number of folds (i.e. partitions)
seed_cv	The random seed defined to reproduce results

Value

A vector containing numeric labels defining each fold