SSDM (0.2.4)

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.

Maintainer: Sylvain Schmitt
Author(s): Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Florian de Boissieu, Philippe Birnbaum

License: GPL (>= 3) | file LICENSE

Uses: dismo, e1071, earth, gbm, gplots, mgcv, nnet, randomForest, raster, rpart, SDMTools, shiny, shinydashboard, shinyFiles, sp, spThin, rgdal, testthat, knitr, rmarkdown

Released about 2 years ago.