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/>.

Version: 1.0.1
Depends: R (≥ 3.4.0), raster, sp
Imports: splancs, spam, spatstat, sampling, dismo, rpart, tree, e1071, earth, randomForest, PresenceAbsence, lattice, graphics, grDevices, gtools, ranger, abind
Suggests: rJava (≥ 0.5-0), caret (≥ 6.0-76)
Published: 2018-02-13
Author: Maialen Iturbide [aut, cre], Joaquin Bedia [ctb], SantanderMetGroup [ctb]
Maintainer: Maialen Iturbide <miturbide at>
License: GPL-3
NeedsCompilation: no
Citation: mopa citation info
CRAN checks: mopa results


Reference manual: mopa.pdf
Package source: mopa_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mopa_1.0.1.tgz, r-oldrel: mopa_1.0.1.tgz
Old sources: mopa archive


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