S4DM (version 0.0.1)

stratify_spatial: Split data for k-fold spatially stratified cross validation

Description

Splitting tool for cross-validation

Usage

stratify_spatial(occurrence_sf, nfolds = NULL, nsubclusters = NULL)

Value

Returns a SpatialPoints dataframe with the data.frame containing fold designation for each point.

Arguments

occurrence_sf

a sf object containing occurrence points

nfolds

number of desired output folds. Default value of NULL makes a reasonable guess based on sample size.

nsubclusters

intermediate number of clusters randomly split into nfolds. Default value of NULL makes a reasonable guess based on sample size. If you specify this manually, it should be an integer multiple of nfolds.

Author

Cory Merow

Details

See Examples.

Examples

{

# load in sample data

 library(S4DM)
 library(terra)
 library(sf)

 # occurrence points
   data("sample_points")
   occurrences <- sample_points


 occurrences <- st_as_sf(x = occurrences,coords = c(1,2))

manual <- stratify_spatial(occurrence_sf = occurrences,nfolds = 5,nsubclusters = 5)
default <- stratify_spatial(occurrence_sf = occurrences)


}