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

Description Usage Arguments Details Version Date submitted Data type Author(s) See Also

View source: R/PartitionDisc.R

Description

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

Usage

1
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

Author(s)

Tom August, tomaug@ceh.ac.uk

See Also

Other process: AddRandomUniformPredictors, BackgroundAndCrossvalid, Background, Bootstrap, CarolinaWrenValidation, Clean, Crossvalidate, JitterOccurrence, LonLatToCovariates, MESSMask, NoProcess, OneHundredBackground, OneThousandBackground, RemoveNAs, StandardiseCov, SubsampleOccurrence, TargetGroupBackground, Transform, addInteraction, spThin


zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.