rules: Sampling rules

Description

Sampling rules

Stratified rule 1

Stratified rule 2

AHELS nSamp

AHELS threshold

Usage

strat_rule1(n, s, i, strat_mask, add_strata, extraCols, mindist)
strat_rule2(n, s, add_strata, nCount, strata_m, extraCols, mindist)
ahels_nSamp(
  nSamp,
  nQuant,
  tolerance,
  nb,
  underRep,
  ratio,
  ratOrderUnder,
  matCovDens,
  matCovSampDens,
  samples,
  mats,
  vals
)
ahels_threshold(
  threshold,
  tolerance,
  nQuant,
  nb,
  ratio,
  underRep,
  ratOrderUnder,
  matCovDens,
  matCovSampDens,
  samples,
  mats,
  vals
)

Value

Allocated samples to be returned by sample_strat() & sample_ahels().

Arguments

mindist: Numeric. Minimum allowable distance between selected samples. Default = NULL.
nSamp: Numeric. Number of desired samples. existing, include and force influence this value.
nQuant: Numeric. Number of quantiles to divide covariates and samples into. Quantiles that do not cover at least 1 percent of the area of interest will be excluded and be returned as NA.
tolerance: Numeric. Allowable tolerance (<= 0.1 (10 added until the 1 - tolerance density is reached. If threshold is used, samples will be added until the threshold - tolerance value is reached. This parameter allows the user to define a buffer around desired quantile densities to permit the algorithm to not add additional samples if quantile density is very close to 1, or user-defined threshold.
threshold: Numeric. Sample quantile ratio threshold. After the threshold default = 0.9 is reached, no additional samples will be added. Values close to 1 can cause the algorithm to continually loop.