buffering: Use distance (buffer) around records to separate train and...
In blockCV: Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation

buffering

R Documentation

Use distance (buffer) around records to separate train and test folds

This function is deprecated and will be removed in future updates! Please use cv_buffer instead!

buffering(
  speciesData,
  species = NULL,
  theRange,
  spDataType = "PA",
  addBG = TRUE,
  progress = TRUE
)

`speciesData`	A simple features (sf) or SpatialPoints object containing species data (response variable).
`species`	Character. Indicating the name of the field in which species data (binary response i.e. 0 and 1) is stored. If `speceis = NULL` the presence and absence data (response variable) will be treated the same and only training and testing records will be counted. This can be used for multi-class responses such as land cover classes for remote sensing image classification, but it is not necessary. Do not use this argument when the response variable is continuous or count data.
`theRange`	Numeric value of the specified range by which the training and testing datasets are separated. This distance should be in *metres* no matter what the coordinate system is. The range can be explored by `spatialAutoRange`.
`spDataType`	Character input indicating the type of species data. It can take two values, PA for presence-absence data and PB for presence-background data, when `species` argument is not `NULL`. See the details section for more information on these two approaches.
`addBG`	Logical. Add background points to the test set when `spDataType = "PB"`.
`progress`	Logical. If TRUE a progress bar will be shown.