glossa_export: Export Glossa Model Results
In glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models

glossa_export

R Documentation

Export Glossa Model Results

Description

This function exports various types of Glossa model results, including native range predictions, suitable habitat predictions, model data, variable importance, functional response results, and presence/absence probability cutoffs. It generates raster files for prediction results, TSV files for model data and variable importance, and TSV files for functional response results. Additionally, it creates a TSV file for presence/absence probability cutoffs if provided.

Usage

glossa_export(
  species = NULL,
  models = NULL,
  layer_results = NULL,
  fields = NULL,
  model_data = FALSE,
  model_summary = FALSE,
  fr = FALSE,
  prob_cut = FALSE,
  varimp = FALSE,
  cross_val = FALSE,
  layer_format = "tif",
  projections_results = NULL,
  presence_absence_list = NULL,
  other_results = NULL,
  pa_cutoff = NULL,
  config_snapshot = NULL
)

Arguments

`species`	A character vector specifying the species names.
`models`	A character vector specifying the types of models to export results for.
`layer_results`	A list containing layer results for native range and suitable habitat predictions.
`fields`	A character vector specifying the fields to include in the exported results.
`model_data`	Logical, indicating whether to export model data.
`fr`	Logical, indicating whether to export functional response results.
`prob_cut`	Logical, indicating whether to export presence/absence probability cutoffs.
`varimp`	Logical, indicating whether to export variable importance.
`cross_val`	Logical, indicating whether to export cross-validation metrics.
`layer_format`	A character vector specifying the format of the exported raster files.
`projections_results`	A list containing projections results.
`presence_absence_list`	A list containing presence/absence lists.
`other_results`	A list containing other types of results (e.g., variable importance, functional responses, cross-validation).
`pa_cutoff`	A list containing presence/absence probability cutoffs.