PartitionDisc: Leave-one-disc-out cross-validation

This process module partitions the sample into training and tests set by selecting circular test areas (possibly surrounded by an exclusion buffer) and using the remaining samples as training samples. See function partition.disc in package sperrorest for more details

PartitionDisc(.data, radius = 2, buffer = 1, seed = NULL)

Arguments

.data
Internal parameter, do not use in the workflow function. .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.
radius
Numeric the radius of the disc, in degrees
buffer
Numeric, the size of the buffer zone in degrees
seed
Numeric used with partition.disc

Details

Module type: Process

Version

1.0

Date submitted

2015-11-13

Data type

presence-only, presence/absence, abundance, proportion

See also

Other process: AddRandomUniformPredictors, BackgroundAndCrossvalid, Background, Bootstrap, Clean, Crossvalidate, JitterOccurrence, MESSMask, NoProcess, OneHundredBackground, OneThousandBackground, StandardiseCov, TargetGroupBackground, Transform, addInteraction

Author

Tom August, tomaug@ceh.ac.uk