hSDM (1.4.1)

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Hierarchical Bayesian Species Distribution Models.


User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer et al. 2006 ). 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.

Maintainer: Ghislain Vieilledent
Author(s): Ghislain Vieilledent [aut, cre] (<https://orcid.org/0000-0002-1685-4997>), Matthieu Autier [ctb], Alan E. Gelfand [ctb], Jrme Gulat [ctb], Marc Kry [ctb], Andrew M. Latimer [ctb], Cory Merow [ctb], Frdric Mortier [ctb], John A. Silander Jr. [ctb], Adam M. Wilson [ctb], Shanshan Wu [ctb], CIRAD [cph, fnd]

License: GPL-3 | file LICENSE

Uses: coda, sp, raster, knitr, rmarkdown, bookdown

Released 9 months ago.

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