predict.em

This function allows the user to predict single models from 
<code>biomod2_ensemble_model</code> on (new) explanatory variables.

Functions for species distribution modeling, calibration and evaluation,
ensemble of models, ensemble forecasting and visualization. The package permits to run
consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences)
dataset and to combine them in ensemble models and ensemble projections. Some bench of other
evaluation and visualisation tools are also available within the package.

Maya Gueguen

biomod2

Ensemble Platform for Species Distribution Modeling

Wilfried Thuiller

Damien Georges

Robin Engler

Frank Breiner

Bruno Lafourcade

Remi Patin

Helene Blancheteau

predict.em function

<dl><dt>object</dt>
<dd>a <code>biomod2_ensemble_model</code> object</dd>
<dt>newdata</dt>
<dd>a <code>data.frame</code> or <code><a href="/link/SpatRaster?package=biomod2&version=4.2-5" data-mini-rdoc="biomod2::SpatRaster">SpatRaster</a></code> object 
containing data for new predictions</dd>
<dt>...</dt>
<dd>(optional)</dd></dl>

Arguments

Author

Functions to get predictions from biomod2_ensemble_model objects — predict.em

<dl>

<dt>object</dt>
<dd>a <code>biomod2_ensemble_model</code> object</dd>


<dt>newdata</dt>
<dd>a <code>data.frame</code> or <code><a href='https://rdrr.io/pkg/terra/man/rast.html'>SpatRaster</a></code> object 
containing data for new predictions</dd>


<dt>...</dt>
<dd>(optional)</dd>

</dl>

Functions to get predictions from <code>biomod2_ensemble_model</code> objects

predict.em: Functions to get predictions from `biomod2_ensemble_model` objects

Description

Arguments

Author

See Also