I have a continuous raster that has been divided in 8 zones, and I'd like to compare if the distribution of pixel values in each zone is significantly different from each other. I thought I would use a Kolmogorov-Smirnov test, but I've been advised not to.
Is there a statistical method out there that allow for the multiple comparison of non-normal distributions, without having to create a statistical model of the type Y~X?