normalize: Normalize data in the range '0' to '1'.

In GastonMauroDiaz/caiman: Canopy Image Analysis

Description

Normalize data lying between mn and mx in the range 0 to 1. Data greater than mx get values greater than 1, proportionally. Conversely, data less than mn get values less than 0.

Usage

normalize(x, mn, mx, ...)

## S4 method for signature 'Raster'
normalize(x, mn, mx, ...)

## S4 method for signature 'RasterLayer'
normalize(x, mn, mx, ...)

## S4 method for signature 'CanopyPhoto'
normalize(x, mn, mx, ...)

Arguments

x	CanopyPhoto or Raster.
mn	One-length numeric. Minimum expected value.
mx	One-length numeric. Maximum expected value.
...	Additional arguments as for writeRaster.

Value

CanopyPhoto or Raster

Methods (by class)

• Raster: Result is a Raster of the same type that x.

• CanopyPhoto: Result is a CanopyPhoto.

Examples

x <- 0:100
summary(normalize(x, 0, 100))
summary(normalize(x, 25, 75))
summary(normalize(x, 50, 75))

x <- normalize(loadPhoto(), 0, 255)
getMin(x)
getMax(x)
x <- normalize(loadPhoto(), 100, 200)
getMin(x)
getMax(x)

GastonMauroDiaz/caiman documentation built on Jan. 22, 2022, 4:43 a.m.