Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ghislain Vieilledent [aut, cre] (<https://orcid.org/0000-0002-1685-4997>), Matthieu Autier [ctb], Alan E. Gelfand [ctb], Jérôme Guélat [ctb], Marc Kéry [ctb], Andrew M. Latimer [ctb], Cory Merow [ctb], Frédéric Mortier [ctb], John A. Silander Jr. [ctb], Adam M. Wilson [ctb], Shanshan Wu [ctb], CIRAD [cph, fnd] |
| Maintainer | Ghislain Vieilledent <ghislain.vieilledent@cirad.fr> |
| License | GPL-3 |
| Version | 1.4.4 |
| URL | https://ecology.ghislainv.fr/hSDM/ https://github.com/ghislainv/hSDM/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the hSDM package in your browser
Any scripts or data that you put into this service are public.
