Learn R Programming

pavo (version 2.9.0)

segspace: Segment classification

Description

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

Usage

segspace(vismodeldata)

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

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).

Author

Thomas E. White thomas.white026@gmail.com

Pierre-Paul Bitton bittonp@uwindsor.ca

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

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

Run the code above in your browser using DataLab