thinning: Applies thinning to pairs of coordinates

In spatialRF: Easy Spatial Modeling with Random Forest

Applies thinning to pairs of coordinates

Description

Resamples a set of points with x and y coordinates to impose a minimum distance among nearby points.

Usage

thinning(xy, minimum.distance = NULL)

Arguments

xy	A data frame with columns named "x" and "y" representing geographic coordinates.
minimum.distance	Numeric, minimum distance to be set between nearby points, in the same units as the coordinates of xy.

Details

Generally used to remove redundant points that could produce pseudo-replication, and to limit sampling bias by disaggregating clusters of points.

Value

A data frame with the same columns as xy with points separated by the defined minimum distance.

See Also

thinning_til_n()

Other utilities: .vif_to_df(), auc(), beowulf_cluster(), objects_size(), optimization_function(), prepare_importance_spatial(), rescale_vector(), root_mean_squared_error(), setup_parallel_execution(), standard_error(), statistical_mode(), thinning_til_n()

Examples

data(plants_xy)

y <- thinning(
  xy = plants_xy,
  minimum.distance = 10
)

if (interactive()) {
  plot(
    plants_xy[, c("x", "y")],
    col = "blue",
    pch = 15
  )

  points(
    y[, c("x", "y")],
    col = "red",
    pch = 15
  )
}

spatialRF documentation built on Dec. 20, 2025, 1:07 a.m.