hSDM R package – Hierarchical Bayesian Species Distribution Models

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.

Default

Date ( Publication)
2023-09-06
Status
Completed
Author
  - Ghislain Vieilledent

Creator
  - Matthieu Autier

Creator
  - Alan E. Gelfand

Creator
  - Jérôme Guélat

Creator
  - Marc Kéry Andrew M. Latime

Creator
  - Cory Merow

Creator
  - Frédéric Mortier

Creator
  - John A. Silander Jr.

Creator
  - Adam M. Wilson

Creator
  - Shanshan Wurinnan

Keywords

modelling
Keywords

biogeography
Keywords

Bayesian SDM
Keywords

species distribution modelling
Keywords

species occurrence
Keywords

ecological processes
Keywords

observation processes
Keywords

R
Access constraints
License
Use limitation

https://cran.r-project.org/web/licenses/GPL-3

OnLine resource
CRAN link (

WWW:LINK-1.0-http--link

 )
Topic Category
Species distribution
Service Category

data collection and preparation
Service Category

model computation
Service Category

data processing
Service Category

modelling
Service Language
eng
Service TRL
TRL 9 – Actual system proven in operational environment
Service User Manual

https://cran.r-project.org/web/packages/hSDM/hSDM.pdf

Metadata

File identifier
392038e0-069b-4098-83f4-4572426baa7c XML
Metadata language
en
Hierarchy level
Service
Metadata Schema Version

1.4.4
 
 

Overviews

overview
sdmpredictors.jpg

Spatial extent

Keywords



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