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

• Election Analysis

  • Comparison of district shapes in different elections and analysis of their influence on results

• 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
  • See this wiki page for an overview on common methods

• German election law

  • What specifics have to be considered for the analysis of berlin state elections in terms of Gerrymandering?
  • Is Gerrymandering possible at all or are the effects of redistricting mitigated by German election law?

• 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