Plot thumbnails of regional aggregations
Download NUTS boundaries from GISCO
These scripts rely upon the following Python libraries
- matplotlib
- pandas
- geopandas
To use the script, first define a dictionary of country mappings using ISO-3166 two-letter country codes as the key, and the mapped region (e.g. model specific region) as the value.
from plot_regions import main
regions = {
'AT' : 'WEU',
'BE' : 'WEU',
'BG' : 'EEU',
'HR' : 'EEU',
'CY' : 'EEU',
'CZ' : 'EEU',
'DK' : 'WEU',
'EE' : 'EEU',
'FI' : 'SCA',
'FR' : 'WEU',
'DE' : 'WEU',
'GR' : 'WEU',
'HU' : 'EEU',
'IE' : 'WEU',
'IT' : 'WEU',
'LV' : 'EEU',
'LT' : 'EEU',
'LU' : 'WEU',
'MT' : 'WEU',
'NL' : 'WEU',
'NO' : 'SCA',
'PL' : 'EEU',
'PT' : 'WEU',
'RO' : 'EEU',
'SK' : 'EEU',
'SI' : 'EEU',
'ES' : 'WEU',
'SE' : 'SCA',
'UK' : 'WEU',
}
main(regions)The result is an thumbnail image of European regions colour coded by aggregation.