create_coords_layer

Generates raster layers for longitude and latitude from given raster data,
applies optional scaling, and restricts the output to a specified spatial mask.

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

create_coords_layer function

<dl><dt>layers</dt>
<dd>Raster or stack of raster layers to derive geographic extent and resolution.</dd>
<dt>study_area</dt>
<dd>Spatial object for masking output layers.</dd>
<dt>scale_layers</dt>
<dd>Logical indicating if scaling is applied. Default is FALSE.</dd></dl>

Arguments

Create Geographic Coordinate Layers — create_coords_layer

<dl>

<dt>layers</dt>
<dd>Raster or stack of raster layers to derive geographic extent and resolution.</dd>


<dt>study_area</dt>
<dd>Spatial object for masking output layers.</dd>


<dt>scale_layers</dt>
<dd>Logical indicating if scaling is applied. Default is FALSE.</dd>

</dl>

create_coords_layer: Create Geographic Coordinate Layers

Description

Usage

Value

Arguments