downweight_selection_pr: Adjust selection weighting

In dhope/BASSr: Benefit Applied Strategic Sampling

Adjust selection weighting

Description

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)

dhope/BASSr documentation built on April 12, 2024, 9:54 p.m.