The other day I saw a fantastic exhibition of work by Bridget Riley. Karsten Schubert, who is Riley’s main agent, has a some of her most famous and influential artwork from 1960 – 1966 on display, including the seminal Moving Squares from 1961.
|Photo of Moving Squares by Bridget Riley, 1961|
Emulsion on board, 123.2 x 121.3cm
In the 1960s Bridget Riley created some great black and white artwork, which at a first glance may look simple and deterministic or sometimes random, but has fascinated me since I saw some of her work for the first time about 9 years ago at the Tate Modern.
Her work prompted a very simple question to me: When does a pattern appear random? As human beings most of our life is focused on pattern recognition. It is about making sense of the world around us, being able to understand what people are saying; seeing lots of different things and yet knowing when something is a table and when it is not. No surprise, I suppose, that pattern recognition is such a big topic in statistics and machine learning.
Of course I couldn’t resist trying to reproduce the Moving Squares in R. Here it is:
## Inspired by Birdget Riley's Moving Squares x <- c(0, 70, 140, 208, 268, 324, 370, 404, 430, 450, 468, 482, 496, 506,516, 523, 528, 533, 536, 542, 549, 558, 568, 581, 595, 613, 633, 659, 688, 722, 764, 810) y <- seq(from=0, to=840, by=70) m <- length(y) n <- length(x) z <- t(matrix(rep(c(0,1), m*n/2), nrow=m)) image(x[-n], y[-m], z[-n,-m], col=c("black", "white"), axes=FALSE, xlab="", ylab="")
However, what may look similar on screen is quite different when you see the actual painting. Thus, if you are in London and have time, make your way to the gallery in Soho. I recommend it!