Stacked Species Distribution Modelling
An S4 class to represent an SDM based on a single algorithm
Build an ensemble SDM that assembles multiple algorithms
Methods to assemble multiple algorithms in an ensemble SDM
An S4 class to represent an ensemble SDM
Evaluate
SSDM package Graphic User Interface
Load occurrence data
Load environmental variables
Load ensemble SDMs and SSDMs.
Map Diversity
Build an SDM using a single algorithm
Pipe operator
Plot SDMs, ensemble SDMs, and SSDMs
Project model into environment
Save ensemble SDMs and SSDMs
SSDM: Stacked species distribution modelling
Build an SSDM that assembles multiple algorithms and species.
An S4 class to represent SSDMs
Stack different ensemble SDMs in an SSDM
Update a previous SSDM
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.