thinning_til_n: Applies thinning to pairs of coordinates until reaching a...

In spatialRF: Easy Spatial Modeling with Random Forest

Applies thinning to pairs of coordinates until reaching a given n

Description

Resamples a set of points with x and y coordinates by increasing the distance step by step until a given sample size is obtained.

Usage

thinning_til_n(
  xy,
  n = 30,
  distance.step = NULL
)

Arguments

xy	A data frame with columns named "x" and "y" representing geographic coordinates. Default: NULL
n	Integer, number of samples to obtain. Must be lower than nrow(xy). Default: 30
distance.step	Numeric, distance step used during the thinning iterations. If NULL, the one percent of the maximum distance among points in xy is used. Default: NULL

Value

A data frame with the same columns as xy with a row number close to n.

See Also

thinning()

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()

Examples

data(plants_xy)

y <- thinning_til_n(
  xy = plants_xy,
  n = 10
)

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

  points(
    y[, c("x", "y")],
    col = "red",
    pch = 15,
    cex = 1.5
  )
}

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