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Segment classification

Source: R/segspace.R
segspace.Rd

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

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.

Author

Thomas E. White thomas.white026@gmail.com

Pierre-Paul Bitton bittonp@uwindsor.ca

Examples

data(sicalis)
vis.sic <- vismodel(sicalis, visual = "segment", achromatic = "all")
seg.sic <- colspace(vis.sic, space = "segment")
#> Warning: Input data is a vismodel object and is not tetrachromatic. Extra receptors will be dropped.