load.model

load_esdm

load_stack

Load S4 Ensemble.SDM and Stacked.SDM
objects saved with their respective save function.

Allows to map species richness and endemism based on stacked
species distribution models (SSDM). Individuals SDMs can be created using a
single or multiple algorithms (ensemble SDMs). For each species, an SDM can
yield a habitat suitability map, a binary map, a between-algorithm variance
map, and can assess variable importance, algorithm accuracy, and between-
algorithm correlation. Methods to stack individual SDMs include summing
individual probabilities and thresholding then summing. Thresholding can be
based on a specific evaluation metric or by drawing repeatedly from a Bernoulli
distribution. The SSDM package also provides a user-friendly interface.

Sylvain Schmitt

SSDM

Stacked Species Distribution Modelling

load.model function

<dl><dt>name</dt>
<dd>character. Name of the folder containing the model to be
loaded.</dd>
<dt>path</dt>
<dd>character. Path to the directory containing the model to be
loaded, by default the path to the current directory.</dd>
<dt>GUI</dt>
<dd>logical. Do not take this argument into account (parameter for the
user interface).</dd></dl>

Arguments

Load ensemble SDMs and SSDMs. — load.model

<dl>

<dt>name</dt>
<dd>character. Name of the folder containing the model to be
loaded.</dd>


<dt>path</dt>
<dd>character. Path to the directory containing the model to be
loaded, by default the path to the current directory.</dd>


<dt>GUI</dt>
<dd>logical. Do not take this argument into account (parameter for the
user interface).</dd>

</dl>

load.model: Load ensemble SDMs and SSDMs.

Description

Usage

Value

Arguments

See Also