mopa: Species Distribution MOdeling with Pseudo-Absences

Tools for transferable species distribution modeling and pseudo-absence data generation allowing the straightforward design of relatively complex experiments with multiple factors affecting the uncertainty (variability) of SDM outputs (pseudo-absence sample, climate projection, modeling algorithm, etc.), and the quantification of the contribution of different factors to the final variability following the method described in Deque el al. (2010) <doi:10.1007/s00382-011-1053-x>. Multiple methods for pseudo-absence data generation can be applied, including the novel Three-step method as described in Iturbide et al. (2015) <doi:10.1016/j.ecolmodel.2015.05.018>. Additionally, a function for niche overlap calculation is provided, considering the metrics described in Warren et al. (2008) <10.1111/j.1558-5646.2008.00482.x> and in Pianka (1973) <10.1146/annurev.es.04.110173.000413>.

Getting started

Package details

AuthorMaialen Iturbide [aut, cre], Joaquin Bedia [ctb], SantanderMetGroup http://meteo.unican.es [ctb]
MaintainerMaialen Iturbide <[email protected]>
LicenseGPL-3
Version1.0.1
URL https://github.com/SantanderMetGroup/mopa/wiki
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mopa")

Try the mopa package in your browser

Any scripts or data that you put into this service are public.

mopa documentation built on Feb. 14, 2018, 1:03 a.m.