General Circulation Model (GCM) Environmental Distribution

This function visualizes GCM data in environmental space, with options to highlight clusters or specific GCMs.

Usage

env_gcms(
  s,
  var_names = c("bio_1", "bio_12"),
  study_area = NULL,
  highlight = "sum",
  resolution = 25,
  title = NULL
)

Arguments

s: A list of stacks of General Circulation Models (GCMs).
var_names: Character. A vector of names of the variables to include, or 'all' to include all variables.
study_area: An Extent object, or any object from which an Extent object can be extracted. Defines the study area for cropping and masking the rasters.
highlight: Character. A vector of GCM names to be highlighted. All other GCMs will appear in grey.
resolution: Numeric. The resolution to be used in the plot. Default is 25.
title: Character. The title of the plot.

Value

A plot displaying the environmental space for the specified GCMs.

Author

Luíz Fernando Esser (luizesser@gmail.com) https://luizfesser.wordpress.com

Examples

var_names <- c("bio_1", "bio_12")
s <- import_gcms(system.file("extdata", package = "chooseGCM"), var_names = var_names)
study_area <- terra::ext(c(-80, -30, -50, 10)) |> terra::vect(crs="epsg:4326")
env_gcms(s, var_names, study_area, highlight = "sum")

env_gcms(s, var_names, study_area, highlight = c("ae", "ch", "cr"))