hSDM: hierarchical Bayesian species distribution models

hSDM is an R package for estimating parameters of hierarchical Bayesian species distribution models. Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.

Package details

AuthorGhislain Vieilledent, Cory Merow, Jérôme Guélat, Andrew M. Latimer, Marc Kéry, Alan E. Gelfand, Adam M. Wilson, Frédéric Mortier and John A. Silander Jr.
MaintainerGhislain Vieilledent <[email protected]>
LicenseGPL-3 | file LICENSE
URL http://hSDM.sf.net
Package repositoryView on CRAN
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hSDM documentation built on May 29, 2017, 9:27 p.m.