A <code>data.frame</code> object with Araucaria angustifolia occurrence data obtained from GBIF and
filtered with Parana state <code>sf</code>.

datasets

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

Reginaldo Ré

Valéria Batista

Luíz Fernando Esser

occ function

## `occ`
A <code>data.frame</code> with 420 rows and 3 columns (EPSG:6933):<dl>
 <dt>species</dt>
<dd>Species name</dd> <dt>decimalLongitude</dt>
<dd>Longitude in meters</dd> <dt>decimalLatitude</dt>
<dd>Latitude in meters</dd>
</dl>

Format

Araucaria angustifolia occurrence data — occ

## `occ`
A <code>data.frame</code> with 420 rows and 3 columns (EPSG:6933):<dl>
 <dt>species</dt>
<dd>Species name</dd>

 <dt>decimalLongitude</dt>
<dd>Longitude in meters</dd>

 <dt>decimalLatitude</dt>
<dd>Latitude in meters</dd>


</dl>

occ: Araucaria angustifolia occurrence data

Description

Usage

Arguments

Format