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 gmail.com> |
| BugReports: | https://github.com/sylvainschmitt/SSDM/issues |
| License: | GPL (≥ 3) | file LICENSE |
| URL: | https://github.com/sylvainschmitt/SSDM |
| NeedsCompilation: | no |
| Citation: | SSDM citation info |
| Materials: | README NEWS |
| CRAN checks: | SSDM results |
| Reference manual: | SSDM.pdf |
| Vignettes: |
"GUI" SSDM |
| Package source: | SSDM_0.2.8.tar.gz |
| Windows binaries: | r-devel: SSDM_0.2.8.zip, r-release: SSDM_0.2.8.zip, r-oldrel: SSDM_0.2.8.zip |
| 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 suggests: | sdmApp |
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