Polychrome (version 1.5.4)

distances: Visualizing Color Palettes

Description

Functions that provide visualization of palettes to help determine appropriate contexts where thay can be used.

Usage

computeDistances(colorset)
plotDistances(colorset, main=deparse(substitute(colorset)), pch=16, ...)

Value

The plotDistances function returns a list with two vector components: the colors in sorted order, and the minimum

distances from each color to the set of preceeding colors. The

computeDistances function returns the vector of minimum distances.

Arguments

colorset

a character vector containing hexadecimal color values.

main

a character string, the main title for a plot

pch

Plotting character to use.

...

additional graphical parameters.

Author

Kevin R. Coombes <[e-mail]>

Details

Carter and Carter established the fact that, for two colors to be reliably distinguished, the Euclidean distance between their representations in CIE L*u*v* color space should be at least 40 units. The computeDistances function reorders the colors by maximal separation in L\*u\*v\* space, and computes the minimum distance of the next color to all the preceeding colors. The plotDistances function computes distances and immediately plots the result.

References

Carter RC, Carter EC. High-contrast sets of colors. Applied Optics, 1982; 21(16):2936--9.

Coombes KR, Brock G, Abrams ZB, Abruzzo LV. Polychrome: Creating and Assessing Qualitative Palettes with Many Colors. Journal of Statistical Software. 2019; 90(1):1--23.

See Also

palette.viewers

Examples

data(alphabet)
plotDistances(alphabet)
luvd <- computeDistances(alphabet)