Jean-Pierre Rossi introduced a function to calculate the “Multivariate Environmental Similarity Surfaces” in R. Since then, the function has become part of the dismo package, which is a package maintained by Robert J. Hijmans and which offers a whole lot of functions for species distribution modelling.

The function calculates the MESS based on a point layer (the reference points) and a set of raster layers (the environmental data layers). It works great for smaller data sets, but you may run into trouble for very large data sets. So I needed to find a way to run this faster. And… I couldn’t. It is already a pretty neat piece of code, and I could not think of a better way of doing this in R. (~~I am working on~~ For an alternative to do this in GRASS, ~~but more about that later:~~ see here).

That is where I decided to try my luck on Stack Overflow. Continue reading A faster way to calculate MESS in R – or – a tribute to Stack overflow