This module takes as one of its arguements a call to an occurrence module, these occurrence points are then used as background points. This follows the methods outlined by Phillips et al (Phillips, S. J., Dud<ed>k, M., Elith, J., Graham, C. H., Lehmann, A., Leathwick, J. and Ferrier, S. (2009), Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecological Applications, 19: 181<96>197. doi:10.1890/07-2153.1) as a method to choose background points with similar bias to the target species presence points.
TargetGroupBackground(.data, OccurrenceCall = NaiveRandomPresence, naOmit = TRUE)
.data
is a list of a data frame and a raster object returned from occurrence modules and covariate modules respectively. .data
is passed automatically in workflow from the occurrence and covariate modules to the process module(s) and should not be passed by the user.presence-only
0.1
2016-08-22
Other process: AddRandomUniformPredictors
,
BackgroundAndCrossvalid
,
Background
, Bootstrap
,
Clean
, Crossvalidate
,
JitterOccurrence
, MESSMask
,
NoProcess
,
OneHundredBackground
,
OneThousandBackground
,
PartitionDisc
,
StandardiseCov
, Transform
,
addInteraction