biomod2: BinaryTransformation-methods – R documentation

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BinaryTransformation-methods

Convert species' probability of occurrence into binary presence-absence data using a predefined threshold

Description

Function that converts an object containing probability values into a binary presence-absence object according to a pre-defined threshold(s).

Usage

BinaryTransformation(data, threshold)

## S4 method for signature 'data.frame'
BinaryTransformation(data, threshold)

## S4 method for signature 'matrix'
BinaryTransformation(data, threshold)

## S4 method for signature 'numeric'
BinaryTransformation(data, threshold)

## S4 method for signature 'array'
BinaryTransformation(data, threshold)

## S4 method for signature 'RasterLayer'
BinaryTransformation(data, threshold)

## S4 method for signature 'RasterStack'
BinaryTransformation(data, threshold)

## S4 method for signature 'RasterBrick'
BinaryTransformation(data, threshold)

Arguments

`data`	numeric vector, a `matrix`, a `data.frame`, a `RasterLayer` or a `RasterStack` containing the data to be converted
`threshold`	numeric value or a vector containing the threshold to be used for converting data.

Details

If data is a vector or a raster object, then the threshold should be a numeric value. If data is matrix,dataframe or rasterStack, then the threshold should have, in theory, as many values as the number of columns or layers to transform. In the particular case that the data to convert is a matrix/data.frame with several columns or a RasterStack with several layers and the threshold is a single numeric value, the same threshold will be applied to all columns (resp. layers).

Value

An object of the same class than data with binary (0 or 1) values, usually presence-absence.

Author(s)

Wilfried Thuiller, Damien Georges

Examples

xx <- rnorm(50,10)
  yy <- BinaryTransformation(xx, 10)

  cbind(xx,yy)

biomod2

Ensemble Platform for Species Distribution Modeling

v3.4.6

GPL-2

Authors

Wilfried Thuiller [aut, cre], Damien Georges [aut, cre], Robin Engler [aut], Frank Breiner [aut]

Initial release

2020-02-24