SSDM: Stacked Species Distribution Modelling

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.

Version: 0.2.8
Depends: R (≥ 3.2.2)
Imports: sp (≥ 1.2.0), raster (≥ 2.9-5), methods (≥ 3.2.2), 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), ggplot2 (≥ 3.1.1), reshape2 (≥ 1.4.3), scales (≥ 1.0.0), shiny (≥ 0.12.2), shinydashboard (≥ 0.5.1), shinyFiles (≥ 0.7.0), spThin (≥ 0.1.0), poibin (≥ 1.3.0)
Suggests: testthat, knitr, rmarkdown, rgdal
Published: 2020-02-28
Author: Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Florian de Boissieu, Lukas Baumbach, Philippe Birnbaum
Maintainer: Sylvain Schmitt <sylvain.m.schmitt at>
License: GPL (≥ 3) | file LICENSE
NeedsCompilation: no
Citation: SSDM citation info
Materials: README NEWS
CRAN checks: SSDM results


Reference manual: SSDM.pdf
Vignettes: "GUI"


Package source: SSDM_0.2.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SSDM_0.2.8.tgz, r-oldrel (arm64): SSDM_0.2.8.tgz, r-release (x86_64): SSDM_0.2.8.tgz, r-oldrel (x86_64): SSDM_0.2.8.tgz
Old sources: SSDM archive

Reverse dependencies:

Reverse suggests: sdmApp


Please use the canonical form to link to this page.