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This project was part of the course "Geospatial Databases" in the winter term of 2016/2017 at the Free University of Berlin. It aims to inspect the 18th Berlin state election in terms of Gerrymandering.
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1. Calculation of a gerry-score using various metrics for compactness
- visualization of election results
- visualization of gerry-score by district
- visualization of total gerry-score (all districts)
- color districts on map by gerry-score (green to red & blue to yellow for color blind users)
2. Redistriction (TODO)
- reshape districts such that gerry-score is reduced
- reshape districts such that a selected party wins or gets more influence
- are there any specifics of german election law to be considered for the analysis?
- Python 3.5 driven backend running Flask
- Carto for managing the shape files
- Leaflet for map visualization
- Google Charts for visualization of statistics
- Twitter Boostrap based UI style