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enmpa: An R package for ecological niche modeling using presence-absence data and generalized linear models
Arias-Giraldo, Luis F. Cobos, Marlon E.
Arias-Giraldo, Luis F.
Cobos, Marlon E.
Abstract
Here, we present the new R package “enmpa,” which includes a range of tools for modeling ecological niches using presence-absence data via logistic generalized linear models. The package allows users to calibrate, select, project, and evaluate models using independent data. We have emphasized a comprehensive search for ideal predictor combinations, including linear, quadratic, and two-way interaction responses, to provide more detailed and robust model calibration processes. We demonstrate the use of the package with an example of a simulated pathogen and its niche. Since enmpa is designed specifically to work with presence-absence data, our tools are particularly useful for studies with data derived from a detection or non-detection sampling universe, such as pathogen testing results. enmpa can be downloaded from CRAN, and the source code is freely available on GitHub.
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2024-08-07
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University of Kansas
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Arias-Giraldo, Luis F., and Marlon E. Cobos. 2024. “Enmpa: An R Package for Ecological Niche Modeling Using Presence-Absence Data and Generalized Linear Models”. Biodiversity Informatics 18 (August). https://doi.org/10.17161/bi.v18i.21742.