392038e0-069b-4098-83f4-4572426baa7c 1.4.4 hSDM R package – Hierarchical Bayesian Species Distribution Models 2023-09-06 A user-friendly and fast set of functions 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. Ghislain Vieilledent ghislain.vieilledent@cirad.fr Matthieu Autier Alan E. Gelfand Jérôme Guélat Marc Kéry Andrew M. Latime Cory Merow Frédéric Mortier John A. Silander Jr. Adam M. Wilson Shanshan Wurinnan https://metadatacatalogue.lifewatch.eu/geonetwork/srv/api/records/392038e0-069b-4098-83f4-4572426baa7c/attachments/sdmpredictors.jpg sdmpredictors.jpg modelling biogeography Bayesian SDM species distribution modelling species occurrence ecological processes observation processes R https://cran.r-project.org/web/licenses/GPL-3 data collection and preparation model computation data processing modelling https://cran.r-project.org/web/packages/hSDM/hSDM.pdf https://cran.r-project.org/package=hSDM WWW:LINK-1.0-http--link CRAN link