Algorithm.SDM-class: An S4 class to represent an SDM based on a single algorithm

In sylvainschmitt/SSDM: Stacked Species Distribution Modelling

An S4 class to represent an SDM based on a single algorithm

Description

This is an S4 class to represent an SDM based on a single algorithm (including generalized linear model, general additive model, multivariate adpative splines, generalized boosted regression model, classification tree analysis, random forest, maximum entropy, artificial neural network, and support vector machines). This S4 class is obtained with modelling.

Slots

name

character. Name of the SDM (by default Species.SDM).

projection

raster. Habitat suitability map produced by the SDM.

binary

raster. Presence/Absence binary map produced by the SDM.

evaluation

data frame. Evaluation of the SDM (available metrics include AUC, Kappa, sensitivity, specificity and proportion of correctly predicted occurrences) and identification of the optimal threshold to convert the habitat suitability map into a binary presence/absence map.

variable.importance

data frame. Relative importance of each variable in the SDM.

data

data frame. Data used to build the SDM.

parameters

data frame. Parameters used to build the SDM.

See Also

Ensemble.SDM an S4 class for ensemble SDMs, and Stacked.SDM an S4 class for SSDMs.

sylvainschmitt/SSDM documentation built on April 13, 2025, 6:09 a.m.