Simulated redistricting plans for the analysis and evaluation of redistricting in the United States
| Autor: | McCartan, Cory, Kenny, Christopher T., Simko, Tyler, Garcia III, George, Wang, Kevin, Wu, Melissa, Kuriwaki, Shiro, Imai, Kosuke |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Sci Data (2022) 9, 689 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1038/s41597-022-01808-2 |
| Popis: | This article introduces the 50stateSimulations, a collection of simulated congressional districting plans and underlying code developed by the Algorithm-Assisted Redistricting Methodology (ALARM) Project. The 50stateSimulations allow for the evaluation of enacted and other congressional redistricting plans in the United States. While the use of redistricting simulation algorithms has become standard in academic research and court cases, any simulation analysis requires non-trivial efforts to combine multiple data sets, identify state-specific redistricting criteria, implement complex simulation algorithms, and summarize and visualize simulation outputs. We have developed a complete workflow that facilitates this entire process of simulation-based redistricting analysis for the congressional districts of all 50 states. The resulting 50stateSimulations include ensembles of simulated 2020 congressional redistricting plans and necessary replication data. We also provide the underlying code, which serves as a template for customized analyses. All data and code are free and publicly available. This article details the design, creation, and validation of the data. Comment: 11 pages, 3 figures |
| Databáze: | arXiv |
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