Description

Objects of this class are generated by a call of ENMevaluate.

Objects from the Class

Objects can be created by calls of the form new("ENMevaluation", ...).

Slots

algorithm:

Object of class "character". The algorithm used for the analysis.

results:

Object of class "data.frame". The full results table.

predictions:

Object of class "RasterStack". Model predictions in geographic space.

models:

List of objects of class "maxnet" from the maxnet package or "MaxEnt" from the dismo package (depending on which algorithm was used). For "Maxnet", see maxnet package documentation for more information. For "MaxEnt", each of these entries include slots for lambda values and the original Maxent results table. See dismo package documentation for more information.

partition.method:

Object of class "character". Indicates the method used for data partitioning.

occ.pts:

Object of class "data.frame". The original presence coordinates.

occ.grp:

Object of class "numeric". The evaluation bin assignment for each occurrence point.

bg.pts:

Object of class "data.frame". The background coordinates used for analysis.

bg.grp:

Object of class "numeric". The evaluation bin assignment for each background point.

overlap:

Object of class "matrix". Niche overlap statistic between models of different settings.

Author(s)

Jamie M. Kass <jkass@gc.cuny.edu> and Robert Muscarella <bob.muscarella@gmail.com>

Examples