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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
- Calculation of gerry-score by district (Wahlkreis)
- Coloring districts on map by gerry-score
2. Simple Analysis of Election Results
- Visualization of overall election results per party
- Visualization of election results for each party per district on map
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Election Analysis
- Comparison of district shapes in different elections and analysis of their influence on results
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Redistriction
- Prevention of Gerrymandering: Reshaping districts such that gerry-score is reduced
- Active Gerrymandering: Reshaping districts such that a selected party wins or gains more influence
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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