Thread by @undertheraedar

Here's the final version of the global population density graphic I made, because another one that is circulating was less well defined, and someone cropped NZ off it

this is the little 'About this print' sheet that goes along with it

and, should you have a burning question like 'how can I make one of these?' or 'where do I get the data?' then see my blog for all the answers

statsmapsnpix.com/2020/11/how-to…

I can't keep up with the notifications but here's a few replies

- how to? See ☝️
- add land! Original ones had land, spikes-only was an experiment
- I want one! See pinned tweet
- Data look wrong - see GHSL data page
- It's kind of a mix of science and art? Yes, that is the aim

and a bit of context, because we all like context:

this was the original thread about it in April, in which I did a couple of these kind of graphics, and then got carried away with myself

https://twitter.com/undertheraedar/status/1255605330647625728?s=20

and, one more thing - because I admit I wasn't as up to date with some of the stats as I should have been

- the population of Africa is now 1.3 billion, in 54 countries

(that's the very latest population estimate)

more nerd notes

- the data come in Mollweide or WGS84 ghsl.jrc.ec.europa.eu/download.php

- image is tilted at -55 degrees, i.e. it's leaning back at 55 degrees

- software is Aerialod, by the amazing @ephtracy (see my blog in bio for how-to)

- render time was about 5 hours

related - in this paper with @CJHoole and @stehincks we look at how density has changed across 30 megacities from 1975 to the present day, using the same GHSL data - it also has more details - e.g. 1km cells with > 100,000 people

eprints.whiterose.ac.uk/149455/