Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.

Documentation

Manual: SSDM.pdf
Vignette: None available.

Maintainer: Sylvain Schmitt <sylvain.schmitt at agroparistech.fr>

Author(s): Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Philippe Birnbaum

Install package and any missing dependencies by running this line in your R console:

install.packages("SSDM")

Depends R (>= 3.2.2)
Imports sp(>=1.2.0), raster(>=2.4.20), methods (>= 3.2.2), SDMTools(>=1.1.221), mgcv(>=1.8.7), earth(>=4.4.3), rpart(>=4.1.10), gbm(>=2.1.1), randomForest(>=4.6.10), dismo(>=1.0.12), nnet(>=7.3.10), e1071(>=1.6.7), shiny(>=0.12.2), shinydashboard(>=0.5.1), gplots(>=0.1.0), shinyFiles(>=0.6.0), spThin(>=0.1.0)
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Package SSDM
Materials
URL https://github.com/sylvainschmitt/SSDM
Task Views
Version 0.2.2
Published 2017-03-22
License GPL (>= 3) | file LICENSE
BugReports https://github.com/sylvainschmitt/SSDM/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks SSDM check results
Package source SSDM_0.2.2.tar.gz