Learn R Programming

pavo (version 2.9.0)

coc: 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)

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).

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).

Author

Thomas White thomas.white026@gmail.com

References

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

Examples

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

Run the code above in your browser using DataLab