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.
|Author||Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Florian de Boissieu, Philippe Birnbaum|
|Date of publication||2017-05-09 21:17:38 UTC|
|Maintainer||Sylvain Schmitt <email@example.com>|
|License||GPL (>= 3) | file LICENSE|
|Package repository||View on CRAN|
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