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) . 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) <10.1111/j.1558-5646.2008.00482.x> and in Pianka (1973) <10.1146/annurev.es.04.110173.000413>.


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install.packages("mopa")

1.0.1 by Maialen Iturbide, 8 months ago


https://github.com/SantanderMetGroup/mopa/wiki


Report a bug at https://github.com/SantanderMetGroup/mopa/issues


Browse source code at https://github.com/cran/mopa


Authors: Maialen Iturbide [aut, cre] , Joaquin Bedia [ctb] , SantanderMetGroup http://meteo.unican.es [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports splancs, spam, spatstat, sampling, dismo, rpart, tree, e1071, earth, randomForest, PresenceAbsence, lattice, graphics, grDevices, gtools, ranger, abind

Depends on raster, sp

Suggests rJava, caret


See at CRAN