virtualSp

Dataset containing a random generated virtual species. The purpose of this
dataset is to demonstrate the use of the functions included in the package.

datasets

User-friendly framework that enables the training and the
evaluation of species distribution models (SDMs). The package implements
functions for data driven variable selection and model tuning and includes
numerous utilities to display the results. All the functions used to select
variables or to tune model hyperparameters have an interactive real-time
chart displayed in the 'RStudio' viewer pane during their execution.

Sergio Vignali

SDMtune

Species Distribution Model Selection

Arnaud Barras

Veronika Braunisch

Conservation Biology - University of Bern 

virtualSp function

A list with five elements:<dl>
<dt>presence</dt>
<dd>400 random generated coordinates for the presence locations.</dd><dt>absence</dt>
<dd>300 random generated coordinates for the absence locations.</dd><dt>background</dt>
<dd>5000 random generated coordinates for the background
locations.</dd><dt>pa_map</dt>
<dd>Presence absence map used to extract the presence and absence
locations.</dd><dt>prob_map</dt>
<dd>Probability map of the random generated virtual species.</dd>
</dl>

Format

Virtual Species — virtualSp

A list with five elements:<dl>
<dt>presence</dt>
<dd>400 random generated coordinates for the presence locations.</dd>

<dt>absence</dt>
<dd>300 random generated coordinates for the absence locations.</dd>

<dt>background</dt>
<dd>5000 random generated coordinates for the background
locations.</dd>

<dt>pa_map</dt>
<dd>Presence absence map used to extract the presence and absence
locations.</dd>

<dt>prob_map</dt>
<dd>Probability map of the random generated virtual species.</dd>


</dl>

virtualSp: Virtual Species

Description

Usage

Arguments

Format

Details

References