Species Distribution Model: hSDM
Model Category: Hierarchical Bayesian
Model Description: This model estimates parameters of species distribution using hierarchical bayesian modeling. This model interprets observations using habitat suitability and other ecological processes.
Model Assumptions: The presence of a species at a site depends on the probability of presence of the species on neighboring sites.
Model Response Data: Presence/absence, Presence-Only, Pseudo-Absence
Model Explanatory Data: Rasters
Model Links and Use with R: https://cran.r-project.org/web/packages/hSDM/hSDM.pdf
Example Papers: hSDM is a new package and there have not been many papers that have utilized it yet. Here’s a couple citations that create SDMs using it.
Vieilledent G, Merow C, Guelat J, Latimer A, Kery M, Gelfand A, Wilson A, Mortier F, Silander Jr J. (2014) Hierarchical Bayesian species distribution models with the hSDM R Package. URL http://hsdm.sourceforge.net/wp-content/uploads/2014/07/hSDM-vignette.pdf
Vieilledent G, Merow C, Guelat J, Latimer A, Kery M, Gelfand A, Wilson A, Mortier F, Silander Jr J. (2014) Package ‘hSDM’. URL http://hsdm.sourceforge.net/wp-content/uploads/2014/07/hSDM-manual.pdf
Example with R:
Spatial Ecology @ MSU
Click on "Category" below to search for R code compiled by the Zarnetske Spatial & Community Ecology Lab and students in MSU's Spatial Ecology graduate course (FOR870/FW870)