read_layers_zip: Load Covariate Layers from ZIP Files

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

Load Covariate Layers from ZIP Files

Description

This function loads covariate layers from a ZIP file, verifies their spatial characteristics, and returns them as a list of raster layers.

Usage

read_layers_zip(
  file_path,
  extend = TRUE,
  first_layer = FALSE,
  show_modal = FALSE,
  is_fit = TRUE
)

Arguments

file_path	Path to the ZIP file containing covariate layers.
extend	If TRUE it will take the largest extent, if FALSE the smallest.
first_layer	If TRUE it will return only the layers from the first timestamp.
show_modal	Optional. Logical. Whether to show a modal notification for warnings. Default is FALSE.
is_fit	Logical. Should be 'TRUE' when the ZIP contains the covariate layers used for model fitting, and 'FALSE' when the ZIP contains projection layers. This flag is only used internally to place the extracted files in separate subdirectories under 'tempdir()', preventing fit and projection layers from being mixed. Default is TRUE.

Value

A list containing raster layers for each covariate.

glossa documentation built on Oct. 30, 2026, 1:07 a.m.