generate_pa_random {glossa}R Documentation

Generate Random Pseudo-Absences

Description

This function generates pseudo-absence points randomly across the study area (random background), optionally applying spatial thinning to match presence filtering strategy.

Usage

generate_pa_random(
  presences,
  study_area,
  raster_stack,
  predictor_variables,
  coords = c("decimalLongitude", "decimalLatitude"),
  ratio = 1,
  attempts = 100,
  seed = NULL
)

Arguments

presences

Data frame containing presence points.

study_area

Spatial polygon defining the study area ('sf' object).

raster_stack

'SpatRaster' object containing covariate data.

predictor_variables

Character vector of the predictor variables selected for this species.

coords

Character vector specifying the column names for latitude and longitude. Defaults to 'c("decimalLongitude", "decimalLatitude")'.

ratio

Ratio of pseudo-absences to presences (default 1 = balanced).

attempts

Integer specifying the number of attempts to generate exact pseudo-absences. Defaults to 100.

seed

Optional random seed.

Value

Data frame containing pseudo-absence points with coordinates, timestamp, pa = 0, and covariates.


[Package glossa version 1.2.2 Index]