This post showcases several multi-scale Turing patterns generated in R with Rcpp(Armadillo). The generating process, inspired by (McCabe 2010), consists of multi-scale convolutions with respect to short-range activator kernels and long-range inhibitor kernels, computed efficiently in the Fourier domain using RcppArmadillo. Starting from an almost homogeneous state, the algorithm generates regular 2D Turing patterns with smoothly varying behavior across multiple scales that are quite fascinating to look at.