Species Distribution Model: hSDMModel 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:
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Spatial Ecology @ MSUClick 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) Category
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