read_extent_polygon

This function reads and validates a polygon file containing the extent. It checks if the file has the correct format and extracts the geometry.

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

read_extent_polygon function

<dl><dt>file_path</dt>
<dd>Path to the polygon file containing the extent.</dd>
<dt>show_modal</dt>
<dd>Optional. Logical. Whether to show a modal notification for warnings. Default is FALSE.</dd></dl>

Arguments

Read and Validate Extent Polygon — read_extent_polygon

<dl>

<dt>file_path</dt>
<dd>Path to the polygon file containing the extent.</dd>


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

</dl>

read_extent_polygon: Read and Validate Extent Polygon

Description

Usage

Value

Arguments