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
Insights
Last 30 days
This package has been downloaded 211 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 2,869 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 33 downloads.
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Dependencies
- Imports1 package
- Suggests5 packages