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There are far more ordinary people (say, 80 percent) than extraordinary people (say, 20 percent); this is often characterized by the 80/20 principle, based on the observation made by the Italian economist Vilfredo Pareto in 1906 that 80% of land in Italy was owned by 20% of the population. A histogram of the data values for these phenomena would reveal a right-skewed or heavy-tailed distribution. How to map the data with the heavy-tailed distribution? Jiang (2013)

Introduction

This is just a super-quick post regarding Brexit. Leaving apart economical, political and social considerations, there is another consequence, now we are one less in the EU.

Updated 17 february 2020: All these pieces of work are already available on cartography >v.2.4.0 on functions hatchedLayer and legendHatched. Just install it via install.packages("cartography"). A dedicated blog post with examples on this link.

How to place an inset map in R? There are many solutions out there using the ggplot2 package (see Drawing beautiful maps programmatically with R, sf and ggplot2 by Mel Moreno and Mathieu Basille). However, I like the old reliable plot function, so the question is: is there another way?