segspace: Segment classification

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

Segment classification

Description

Calculates segment classification measures as defined in Endler (1990).

Usage

segspace(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 columns named 'S1', 'S2', 'S3', 'S4', and, optionally, 'lum', representing a generic 'tetrachromatic' viewer).

Value

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

• S1, S2, S3, S4: the relative reflectance at each of the four segments.

• LM, MS: segment scores

• C, H, B: 'chroma', 'hue' (degrees), and 'brightness' in the segment classification space

Author(s)

Thomas E. White [e-mail]

Pierre-Paul Bitton [e-mail]

References

Endler, J. A. (1990) On the measurement and classification of colour in studies of animal colour patterns. Biological Journal of the Linnean Society, 41, 315-352.

Examples

data(sicalis)
vis.sic <- vismodel(sicalis, visual = "segment", achromatic = "all")
seg.sic <- colspace(vis.sic, space = "segment")

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