predictMaxnet

Create a raster prediction for a maxnet model

internal

The 'shiny' application Wallace is a modular platform for
reproducible modeling of species niches and distributions. Wallace
guides users through a complete analysis, from the acquisition of species
occurrence and environmental data to visualizing model predictions on an
interactive map, thus bundling complex workflows into a single,
streamlined interface. An extensive vignette, which guides users through
most package functionality can be found on the package's GitHub Pages
website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.

Gonzalo E. Pinilla-Buitrago

wallace

A Modular Platform for Reproducible Modeling of Species Niches
and Distributions

Jamie M. Kass

Andrea Paz

Bethany A. Johnson

Valentina Grisales-Betancur

Dean Attali

Matthew E. Aiello-Lammens

Cory Merow

Mary E. Blair

Robert P. Anderson

Sarah I. Meenan

Olivier Broennimann

Peter J. Galante

Brian S. Maitner

Hannah L. Owens

Sara Varela

Bruno Vilela

Robert Muscarella

predictMaxnet function

<dl><dt>mod</dt>
<dd>Model object</dd>
<dt>envs</dt>
<dd>Environmental rasters</dd>
<dt>clamp</dt>
<dd>Use clamping. Boolean</dd>
<dt>type</dt>
<dd>Maxent prediction type. It can be "raw", "logistic" or "cloglog"</dd></dl>

Arguments

predictMaxnet — predictMaxnet

<dl>

<dt>mod</dt>
<dd>Model object</dd>


<dt>envs</dt>
<dd>Environmental rasters</dd>


<dt>clamp</dt>
<dd>Use clamping. Boolean</dd>


<dt>type</dt>
<dd>Maxent prediction type. It can be "raw", "logistic" or "cloglog"</dd>

</dl>

predictMaxnet: predictMaxnet

Description

Usage

Arguments