enm_data

A dataset containing information on presence and absence, and
independent variables used to fit GLM models.

datasets

A set of tools to perform Ecological Niche Modeling with
presence-absence data. It includes algorithms for data partitioning,
model fitting, calibration, evaluation, selection, and prediction.
Other functions help to explore signals of ecological niche using univariate
and multivariate analyses, and model features such as variable response
curves and variable importance. Unique characteristics of this package are
the ability to exclude models with concave quadratic responses, and the
option to clamp model predictions to specific variables. These tools are
implemented following principles proposed in
Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>,
Cobos et al., (2019) <doi:10.7717/peerj.6281>,
and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.

Luis F. Arias-Giraldo

enmpa

Ecological Niche Modeling using Presence-Absence Data

Marlon E. Cobos

A. Townsend Peterson

enm_data function

A data frame with 5627 rows and 3 columns.<dl>
<dt>Sp</dt>
<dd>numeric, values of 0 = absence and 1 = presence.</dd><dt>bio_1</dt>
<dd>numeric, temperature values.</dd><dt>bio_12</dt>
<dd>numeric, precipitation values.</dd>
</dl>

Format

Example data used to run model calibration exercises — enm_data

A data frame with 5627 rows and 3 columns.<dl>
<dt>Sp</dt>
<dd>numeric, values of 0 = absence and 1 = presence.</dd>

<dt>bio_1</dt>
<dd>numeric, temperature values.</dd>

<dt>bio_12</dt>
<dd>numeric, precipitation values.</dd>


</dl>

enm_data: Example data used to run model calibration exercises

Description

Usage

Arguments

Format

Examples