validate_fit_projection_layers

This function validates fit and projection layers by checking their covariates.

internal

A user-friendly 'shiny' application for Bayesian machine
learning analysis of marine species distributions. GLOSSA (Global
Species Spatiotemporal Analysis) uses Bayesian Additive Regression
Trees (BART; Chipman, George, and McCulloch (2010)
<doi:10.1214/09-AOAS285>) to model species distributions with
intuitive workflows for data upload, processing, model fitting, and
result visualization. It supports presence-absence and presence-only
data (with pseudo-absence generation), spatial thinning,
cross-validation, and scenario-based projections. GLOSSA is designed
to facilitate ecological research by providing easy-to-use tools for
analyzing and visualizing marine species distributions across
different spatial and temporal scales.

Jorge Mestre-Tomás

glossa

User-Friendly 'shiny' App for Bayesian Species Distribution
Models

Alba Fuster-Alonso

validate_fit_projection_layers function

<dl><dt>fit_layers_path</dt>
<dd>Path to the ZIP file containing fit layers.</dd>
<dt>proj_layers_path</dt>
<dd>Path to the ZIP file containing projection layers.</dd>
<dt>show_modal</dt>
<dd>Optional. Logical. Whether to show a modal notification for warnings. Default is FALSE.</dd></dl>

Arguments

Validate Fit and Projection Layers — validate_fit_projection_layers

<dl>

<dt>fit_layers_path</dt>
<dd>Path to the ZIP file containing fit layers.</dd>


<dt>proj_layers_path</dt>
<dd>Path to the ZIP file containing projection layers.</dd>


<dt>show_modal</dt>
<dd>Optional. Logical. Whether to show a modal notification for warnings. Default is FALSE.</dd>

</dl>

validate_fit_projection_layers: Validate Fit and Projection Layers

Description

Usage

Value

Arguments