BackgroundAndCrossvalid: Process module: BackgroundAndCrossvalid

In zoonproject/modules: Species Distribution Modelling Code Modules for the ZOON Package

Description

Process module to generate up to 100 background records at random in cells of ras and split all data in k folds for cross validation.

Usage

BackgroundAndCrossvalid(.data, k = 5, 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.
k	The number of folds you wish to have. Will later implement a leaveoneout opt
seed	Numeric used with set.seed

Version

1.0

Date submitted

2015-11-13

Data type

presence-only

Author(s)

ZOON Developers, [e-mail]

See Also

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

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