Use MCMC to analyze districting plans and gerrymanders
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Updated
Apr 30, 2024 - Python
Use MCMC to analyze districting plans and gerrymanders
Simulation methods for legislative redistricting.
An analysis conducted on Gerrymandering & Polarisation
🎨 Front-end for CSE 308 project.
System automatically generates a state redistricting plan that maximizes the number of districts for one demographic group constrained by factors requested by the user.
🗺️ 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…
Lots of metrics for quantifying gerrymandering.
Reproduction materials for "Gerrymandering and Compactness: Implementation Flexibility and Abuse"
Flexible command line implementation of the Huntington-Hill apportionment method
Utils for the "Gerrymandering in Polish Local Elections" research project
Package for calculating compactness measures and quantifying gerrymandering.
GitHub repository of data and mapping resources for the Clemson Redistricting Team et al.
A JavaScript library for computing the compactness of GeoJSON features.
Is Gerrymandering why a particular party has the majority? Let's do some math to find out.
Create a voter simulation to assess for a fair redistricting
Zemljevid volišč na referendumu o zakonu o spremembah in dopolnitvah Zakona o vodah (ZV-1G)
Making districts in a way that prioritizes cohesiveness over compactness, without regard to population. Uses OSM data via Python. Mostly just fun for me.
NetLogo model to test the impact of different gerrymandering strategies
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