generate_pseudo_absences: Generate Pseudo-Absence Points Based on Presence Points,...

In glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models

Generate Pseudo-Absence Points Based on Presence Points, Covariates, and Study Area Polygon

Description

This function generates pseudo-absence points within the study area.

Usage

generate_pseudo_absences(
  presences,
  study_area,
  raster_stack,
  predictor_variables,
  coords = c("decimalLongitude", "decimalLatitude"),
  decimal_digits = NULL,
  attempts = 100
)

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")'.
decimal_digits	An integer specifying the number of decimal places to which coordinates should be rounded.
attempts	Integer specifying the number of attempts to generate exact pseudo-absences. Defaults to 100.

Value

Data frame containing both presence and pseudo-absence points.

glossa documentation built on Oct. 15, 2024, 5:08 p.m.