I'm looking for a palette that would maximize the discrepancy with neighbouring elements.
I have a raster image of objects tagged with integers. I'd like to highlight the different objects by using a palette that would maximize this difference with neighbours as close numbers tend to be neighbours. Of, course, I don't expect this to be color-blind safe are even beautiful, but, I'd like to have a good chance of separating neighbours. It looks a bit like : x <- structure(c(1, 1, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 3, 2, 1, 1, 1, NA, NA, 3, 1, 4, 4, 3, 3, 3, 4, 4, 3, 3, 3, 3), .Dim = c(6L, 6L)) image(x) # i've tried things like image(x, col = sample(rainbow(5))) But with number of objects increasing (~80), I tend to have same colours (or very close ones) as neighbours. Does that palette exist ? Thanks, Etienne [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.