categorical: Categorical fly-visual model

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

Categorical fly-visual model

Description

Applies the categorical colour vision model of Troje (1993)

Usage

categorical(vismodeldata)

Arguments

vismodeldata

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

Value

Object of class colspace consisting of the following columns:

• ⁠R7p, R7y, R8p, R8y⁠: the quantum catch data used to calculate the remaining variables.

• ⁠x, y⁠: cartesian coordinates in the categorical colour space.

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

• h.theta: angle theta (in radians), a continuous measure of stimulus hue.

• category: fly-colour category. One of ⁠p-y-⁠, ⁠p-y+⁠, ⁠p+y-⁠, ⁠p+y+⁠.

Author(s)

Thomas White [e-mail]

References

Troje N. (1993). Spectral categories in the learning behaviour of blowflies. Zeitschrift fur Naturforschung C, 48, 96-96.

Examples

data(flowers)
vis.flowers <- vismodel(flowers, visual = "musca", achromatic = "md.r1")
cat.flowers <- colspace(vis.flowers, space = "categorical")

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