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()

Examples

if(interactive()){

 #loading example data
 data(plant_richness_df)

 #thinning to ~20 records
 plant_richness.thin <- thinning_til_n(
   x = plant_richness_df,
   n = 20
   )

 plant_richness.thin

}

spatialRF documentation built on Aug. 19, 2022, 5:23 p.m.