Use MCMC to analyze districting plans and gerrymanders
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Updated
May 24, 2024 - Python
Use MCMC to analyze districting plans and gerrymanders
Simulation methods for legislative redistricting.
Lots of metrics for quantifying gerrymandering.
Data visualization project that determines how gerrymandered a congressional district is. MA-6 Congressional App Challenge Winner.
A map to remedy VA's unconstitutional House of Delegates districts, with accompanying analysis
Package for calculating compactness measures and quantifying gerrymandering.
GitHub repository of data and mapping resources for the Clemson Redistricting Team et al.
Server code for the Progress Report Scorecard API
NetLogo model to test the impact of different gerrymandering strategies
Analysis of Berlin State Elections in Terms of Gerrymandering
A data visualization of seats-votes curves, done for Math 630 at Andover
Reproduction materials for "Gerrymandering and Compactness: Implementation Flexibility and Abuse"
Client code for Progress Report.
Flexible command line implementation of the Huntington-Hill apportionment method
Making districts in a way that prioritizes cohesiveness over compactness, without regard to population. Uses OSM data via Python. Mostly just fun for me.
System automatically generates a state redistricting plan that maximizes the number of districts for one demographic group constrained by factors requested by the user.
A JavaScript library for computing the compactness of GeoJSON features.
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