coc: Color opponent coding model

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

Color opponent coding model

Description

Calculates coordinates and colorimetric variables that represent reflectance spectra in the color opponent coding model of hymenopteran vision.

Usage

coc(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: coordinates for the points in coc space

• r.vec: the r vector (saturation, distance from the center using a city-block metric).

Author(s)

Thomas White [e-mail]

References

Backhaus W. (1991). Color opponent coding in the visual system of the honeybee. Vision Research, 31, 1381-1397.

Examples

data(flowers)
vis.flowers <- vismodel(flowers, visual = "apis", qcatch = "Ei", relative = FALSE, vonkries = TRUE)
coc.flowers <- colspace(vis.flowers, space = "coc")

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