Code, data and discussion to support: On the use of ‘glyphmaps’ for analysing the scale and temporal spread of Covid-19 reported cases
Roger Beecham (contact r.j.beecham@leeds.ac.uk)
Jason Dykes
Layik Hama
Nik Lomax
Included here is code, data and discussion to support our paper: On the use of ‘glyphmaps’ for analysing the scale and temporal spread of Covid-19 reported cases.
In this repo is code for :
- Collecting and processing Public Health England’s daily cases
data cases and geography datasets
in
./code/download_data.R
- Pre-computing over the cases data for charting in
./code/data_staging.R
- Helper functions for generating ridge and line charts in
./code/helper_functions.R
- Example code for generating and parametrising full glyphmaps in
./code/examples.R
- Code for generating our implementation of this
Washington Post
graphic,
a glyphmap of Covid-19 case data by US county:
./code/washington_post.R
Additionally, see:
- This twitter thread for an analysis and design exposition.
- This web-page – http://www.roger-beecham.com/covid-19-datavis/ – for an introduction to the work.
- Roger Beecham, School of Geography, University of Leeds (github: rogerbeecham | twitter: rjbeecham)