mopa (1.0.1)

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Species Distribution MOdeling with Pseudo-Absences.

https://github.com/SantanderMetGroup/mopa/wiki
http://cran.r-project.org/web/packages/mopa

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) . Multiple methods for pseudo-absence data generation can be applied, including the novel Three-step method as described in Iturbide et al. (2015) . Additionally, a function for niche overlap calculation is provided, considering the metrics described in Warren et al. (2008) and in Pianka (1973) .

Maintainer: Maialen Iturbide
Author(s): Maialen Iturbide [aut, cre], Joaquin Bedia [ctb], SantanderMetGroup http://meteo.unican.es [ctb]

License: GPL-3

Uses: abind, dismo, e1071, earth, gtools, lattice, PresenceAbsence, randomForest, ranger, raster, rpart, sampling, sp, spam, spatstat, splancs, tree, caret, rJava

Released almost 2 years ago.


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