ecospat.caleval: Calibration And Evaluation Dataset

In ecospat: Spatial Ecology Miscellaneous Methods

Calibration And Evaluation Dataset

Description

Generate an evaluation and calibration dataset with a desired ratio of disaggregation.

Usage

ecospat.caleval (data, xy, row.num=1:nrow(data), nrep=1, ratio=0.7, 
disaggregate=0, pseudoabs=0, npres=0, replace=FALSE)

Arguments

data	A vector with presence-absence (0-1) data for one species.
xy	The x and y coordinates of the projection dataset.
row.num	Row original number
nrep	Number of repetitions
ratio	Ratio of disaggregation
disaggregate	Minimum distance of disaggregation (has to be in the same scale as xy)
pseudoabs	Number of pseudoabsences
npres	To select a smaller number of presences from the dataset to be subsetted. The maximum number is the total number of presences
replace	F to replace de pseudoabsences

Details

This functions generates two list, one with the calibration or training dataset and other list with the evaluation or testing dataset disaggregated with a minimum distance.

Value

list("eval"=eval,"cal"=cal))

Author(s)

Blaise Petitpierre [e-mail]

Examples

data <- ecospat.testData
caleval <- ecospat.caleval (data = ecospat.testData[53], xy = data[2:3], row.num = 1:nrow(data), 
nrep = 2, ratio = 0.7, disaggregate = 0.2, pseudoabs = 100, npres = 10, replace = FALSE)
caleval

ecospat documentation built on July 4, 2024, 5:06 p.m.