Adjust selection weighting

Adjust selection weighting

Usage

downweight_selection_pr(
  sample_locs,
  scalingFactor,
  sigma_value,
  selection_column = NULL,
  fun = "cauchy",
  existing_sampling = NULL,
  dmat = NULL
)

Arguments

sample_locs

sf object with the selection weighting column (polygons or points)

scalingFactor

scaling factor to downweight

sigma_value

sigma value of distribution effect for existing sampling. Larger value means sampling has wider effect

selection_column

Column with sampling weights to be adjusted. If null return only the weights.

fun

Type of decay function. Current options are 'cauchy', 'normal' or 'exp'

existing_sampling

exisint sampling to down weight around (points)

dmat

distance matrix from sample locations (rows) to existing sampling (columns)

Value

data.frame sample_locs with downweights and adjusted selection probabilities included. If selection column is null return a vector of the downweights alone.

Examples

# downweight_selection_pr(BASSr::all_study_areas[1:10,], BASSr::all_study_areas[20:30,], scalingFactor = 0.1, sigma_value = 1e5, fun = 'cauchy', selection_column = NULL)