tsne_sdm

This function calculates tSNE with presences and pseudoabsences data and returns a list of plots.

Use machine learning algorithms and advanced geographic information system tools to
build Species Distribution Modeling in a extensible and modern fashion.

Luíz Esser

caretSDM

Build Species Distribution Modeling using 'caret'

Dayani Bailly

Edivando Couto

José Hilário Delconte Ferreira

Marcos R. Lima

Reginaldo Ré

Valéria Batista

Luíz Fernando Esser

tsne_sdm function

<dl><dt>occ</dt>
<dd>A <code>occurrences</code> or <code>input_sdm</code> object.</dd>
<dt>pred</dt>
<dd>A <code>predictors</code> object. If <code>occ</code> is of class <code>input_sdm</code>, then
<code>pred</code> is retrieved from it.</dd>
<dt>variables_selected</dt>
<dd>Variable to be used in t-SNE. It can also be 'vif', if previously calculated.</dd></dl>

Arguments

Luíz Fernando Esser (luizesser@gmail.com)
https://luizfesser.wordpress.com

Author

tSNE — tsne_sdm

<dl>

<dt>occ</dt>
<dd>A <code>occurrences</code> or <code>input_sdm</code> object.</dd>


<dt>pred</dt>
<dd>A <code>predictors</code> object. If <code>occ</code> is of class <code>input_sdm</code>, then
<code>pred</code> is retrieved from it.</dd>


<dt>variables_selected</dt>
<dd>Variable to be used in t-SNE. It can also be 'vif', if previously calculated.</dd>

</dl>

tsne_sdm: tSNE

Description

Usage

Value

Arguments

Author