Automated Redistricting Simulation Using Markov Chain Monte Carlo
Automated Redistricting Simulation Using Markov Chain Monte Carlo
Legislative redistricting is a critical element of representative democracy. A number of political scientists have used simulation methods to sample redistricting plans under various constraints to assess their impact on partisanship and other aspects of representation. However, while many optimization algorithms have been proposed, surprisingly few simulation methods exist in …