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>.

Mary E. Blair

wallace

A Modular Platform for Reproducible Modeling of Species Niches
and Distributions

Bethany A. Johnson

Daniel F. Lopez-Lozano

Jamie M. Kass

Gonzalo E. Pinilla-Buitrago

Andrea Paz

Valentina Grisales-Betancur

Dean Attali

Matthew E. Aiello-Lammens

Cory Merow

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