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https://github.com/const-ae/coronadensity

Last synced: 9 days ago
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Host: GitHub
URL: https://github.com/const-ae/coronadensity
Owner: const-ae
License: mit
Created: 2020-03-12T20:24:04.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2020-03-14T11:42:59.000Z (almost 5 years ago)
Last Synced: 2024-11-06T14:00:49.251Z (about 2 months ago)
Language: HTML
Size: 17.5 MB
Stars: 3
Watchers: 2
Forks: 0
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

# CoronaDensity

My attempt to visualize the spatial distribution of the Corona outbreak in Germany.

Classical density maps with the number of cases often just reproduce the population density (for example at [tagesschau.de](https://www.tagesschau.de/inland/coronavirus-karte-deutschland-101.html)).
However, better approaches are available: https://xkcd.com/1939/ shows the 2016 US election result where each person represents 250,000 votes.

I took the same approach for the Corona map, I **exaggerate** the number of Corona cases by **500x** so that one can see anything.
One caveat on the precision of the data. The corona cases and population density are available on a district level. Then I randomly place the dots within the corresponding district.

![Corona Density Map](https://github.com/const-ae/CoronaDensity/blob/master/output/5000_healthy_10_infected.png)

And there is also a version that is save for people with colorblindness:

![Corona Density Map](https://github.com/const-ae/CoronaDensity/blob/master/output/5000_healthy_10_infected_colorblind.png)

The pictures are licenced under CC-BY the code is licenced under MIT licence.