Use MCMC to analyze districting plans and gerrymanders
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Updated
Aug 12, 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.
Package for calculating compactness measures and quantifying gerrymandering.
A map to remedy VA's unconstitutional House of Delegates districts, with accompanying analysis
Reproduction materials for "Gerrymandering and Compactness: Implementation Flexibility and Abuse"
🎨 Front-end for CSE 308 project.
Server code for the Progress Report Scorecard API
A data visualization of seats-votes curves, done for Math 630 at Andover
Analysis of Berlin State Elections in Terms of Gerrymandering
A JavaScript library for computing the compactness of GeoJSON features.
🗺️ The system developed in this project allows for the generation of congressional district boundaries without political influence but with the maximum number of majority-minority districts. This system relates to, but is different from, systems developed in previous sections of CSE308. Those systems gathered data associated with this topic, an…
Flexible command line implementation of the Huntington-Hill apportionment method
NetLogo model to test the impact of different gerrymandering strategies
GitHub repository of data and mapping resources for the Clemson Redistricting Team et al.
Client code for Progress Report.
A framework for I-cut-I-freeze redistricting
Create a voter simulation to assess for a fair redistricting
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