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Is your feature request related to a problem? Please describe. #569 generates maps showing clinical trial recruitment density by country. However, the ISO-to-map mappings treat certain geopolitical entities in sub-optimal ways (e.g., French Guiana shows up with the color assigned to France).
The codes handled this way are: 'LIE', 'MLT', 'GUF', 'SMR', 'HKG', 'GIB', 'BHR', 'MCO', 'UMI', 'IMN', 'SGP', 'MTQ'
Describe the solution you'd like
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Looking at the Lowres dataset (which determines which regions of the map belong to each country), it should be possible to parse the multipolygon associated with a country like France, identify the part that describes French Guiana, and remove it from France + create a new row in the dataset. I haven't looked at the other countries, but presumably this is similar for all/most.
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
We could ignore it since technically those are the correct ISO codes, but it detracts from the meaning of the figure and is questionable in a section where we're talking about issues with representation in clinicial trials.
Additional context
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The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
#569 generates maps showing clinical trial recruitment density by country. However, the ISO-to-map mappings treat certain geopolitical entities in sub-optimal ways (e.g., French Guiana shows up with the color assigned to France).
The codes handled this way are: 'LIE', 'MLT', 'GUF', 'SMR', 'HKG', 'GIB', 'BHR', 'MCO', 'UMI', 'IMN', 'SGP', 'MTQ'
Describe the solution you'd like
A clear and concise description of what you want to happen.
Looking at the Lowres dataset (which determines which regions of the map belong to each country), it should be possible to parse the multipolygon associated with a country like France, identify the part that describes French Guiana, and remove it from France + create a new row in the dataset. I haven't looked at the other countries, but presumably this is similar for all/most.
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
We could ignore it since technically those are the correct ISO codes, but it detracts from the meaning of the figure and is questionable in a section where we're talking about issues with representation in clinicial trials.
Additional context
Add any other context or screenshots about the feature request here.
The text was updated successfully, but these errors were encountered: