SSDM: SSDM: Stacked species distribution modelling
In hugocalcad/LigthSSDM: Optimized SSDM Package for large dataset

Description Details Data preparation Modelling main functions Model main methods Model classes Miscellaneous

SSDM is a package to map species richness and endemism based on Stacked Species Distribution Models (SSDM). It provides tools to build SDM, i.e. a single species fitted with a single algorithm, Ensemble SDM (ESDM), i.e. a single species fitted with multiple algorithms, SSDM several species with one or more algorithms. The package includes numerous modelling algorithms, and specifiable ensemble aggregating and stacking methods. This package also provides tools to evaluate and explore models such as variable importance, algorithm accuracy, and between-algorithm correlation, and tools to map results such as habitat suitability maps, binary maps, between-algorithm variance maps. For ease of use, the SSDM package provides a user-friendly graphical interface (gui).

The SSDM package provides five categories of functions (that you can find in details below): Data preparation, Modelling main functions, Model main methods, Model classes, and Miscellaneous.

load_occ: Load occurrence data
load_var: Load environmental variables

modelling: Build an SDM using a single algorithm
ensemble_modelling: Build an SDM that assembles multiple algorithms
stack_modelling: Build an SSDMs that assembles multiple algorithms and species

ensemble,Algorithm.SDM-method: Build an ensemble SDM
stacking,Ensemble.SDM-method: Build an SSDM
update,Stacked.SDM-method: Update a previous SSDM with new occurrence data

Algorithm.SDM: S4 class to represent SDMs
Ensemble.SDM: S4 class to represent ensemble SDMs
Stacked.SDM: S4 class to represent SSDMs