trispace: Trichromatic colour space

In pavo: Perceptual Analysis, Visualization and Organization of Spectral Colour Data

Trichromatic colour space

Description

Calculates coordinates and colourimetric variables that represent reflectance spectra in a trichromatic chromaticity space.

Usage

trispace(vismodeldata)

Arguments

vismodeldata

(required) quantum catch colour data. Can be either the result from vismodel() or independently calculated data (in the form of a data frame with three columns named 's', 'm', 'l', representing a trichromatic viewer).

Value

A data frame of class colspace consisting of the following columns:

• s, m, l: the quantum catch data used to calculate the remaining variables.

• x, y: cartesian coordinates for the points in the Maxwell triangle.

• h.theta: angle theta, in radians, determining the hue of the colour.

• r.vec: the r vector (saturation, distance from the center).

Author(s)

Thomas E. White [e-mail]

References

Maxwell JC. (1970). On color vision. In: Macadam, D. L. (ed) Sources of Color Science. Cambridge, MIT Press, 1872 - 1873.

Kelber A, Vorobyev M, Osorio D. (2003). Animal colour vision - behavioural tests and physiological concepts. Biological Reviews, 78, 81 - 118.

MacLeod DIA, Boynton RM. (1979). Chromaticity diagram showing cone excitation by stimuli of equal luminance. Journal of the Optical Society of America, 69, 1183-1186.

Examples

data(flowers)
vis.flowers <- vismodel(flowers, visual = "apis", achromatic = "l")
tri.flowers <- colspace(vis.flowers, space = "tri")

pavo documentation built on Sept. 24, 2023, 5:06 p.m.