hSDM
Hierarchical Bayesian Species Distribution Models
User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer and others 2006 doi:10.1890/04-0609). 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.
- Version1.4.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/06/2023
Documentation
Team
Ghislain Vieilledent
Cory Merow
Show author detailsRolesContributorMarc Kéry
Show author detailsRolesContributorMatthieu Autier
Show author detailsRolesContributorAlan E. Gelfand
Show author detailsRolesContributorJérôme Guélat
Show author detailsRolesContributorAndrew M. Latimer
Show author detailsRolesContributorFrédéric Mortier
Show author detailsRolesContributorJohn A. Silander Jr.
Show author detailsRolesContributorAdam M. Wilson
Show author detailsRolesContributorShanshan Wu
Show author detailsRolesContributorCIRAD
Show author detailsRolesCopyright holder, fnd
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