generate_prediction_plot

This function generates a plot based on prediction raster layers and presence/absence points.

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

generate_prediction_plot function

<dl><dt>prediction_layer</dt>
<dd>Raster prediction layer.</dd>
<dt>pa_points</dt>
<dd>Presence/absence points.</dd>
<dt>legend_label</dt>
<dd>Label for the legend.</dd>
<dt>non_study_area_mask</dt>
<dd>Spatial polygon representing the non study areas.</dd></dl>

Arguments

Generate Prediction Plot — generate_prediction_plot

<dl>

<dt>prediction_layer</dt>
<dd>Raster prediction layer.</dd>


<dt>pa_points</dt>
<dd>Presence/absence points.</dd>


<dt>legend_label</dt>
<dd>Label for the legend.</dd>


<dt>non_study_area_mask</dt>
<dd>Spatial polygon representing the non study areas.</dd>

</dl>

generate_prediction_plot: Generate Prediction Plot

Description

Usage

Value

Arguments