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.
- Version0.2.9
- R version≥ 3.2.2
- LicenseGPL (≥ 3)
- Needs compilation?No
- SSDM citation info
- Last release10/24/2023
Documentation
Team
Sylvain Schmitt
Robin Pouteau
Dimitri Justeau
Florian de Boissieu
Lukas Baumbach
Philippe Birnbaum
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- Imports23 packages
- Suggests4 packages