SSDM {SSDM} | R Documentation |
SSDM: Stacked species distribution modelling
Description
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
).
Details
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.
Data preparation
Modelling main functions
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
Model main methods
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
Model classes
Algorithm.SDM
S4 class to represent SDMs
Ensemble.SDM
S4 class to represent ensemble SDMs
Stacked.SDM
S4 class to represent SSDMs
Miscellaneous
gui
User-friendly interface for SSDM package
plot.model
Plot SDMs
save.model
Save SDMs
load.model
Load SDMs