论文标题
模拟的重新划分计划，以分析和评估美国的重新分区
Simulated redistricting plans for the analysis and evaluation of redistricting in the United States
论文作者
论文摘要
本文介绍了50个模拟，模拟国会区计划的集合以及算法辅助的重新分配方法（Alarm）项目制定的基本法规。 50个模拟允许评估美国制定的和其他国会重新划分计划。虽然重新划分仿真算法的使用已成为学术研究和法院案例中的标准，但任何仿真分析都需要非平凡的努力来结合多个数据集，识别特定州特定的重新划分标准，实施复杂的模拟算法，并汇总和总结和可视化模拟输出。我们已经开发了一个完整的工作流程，可为所有50个州的国会地区提供基于模拟的重新分配分析的整个过程。由此产生的50个模拟包括模拟的2020年国会重新划分计划和必要的复制数据的集合。我们还提供了基础代码，该代码是定制分析的模板。所有数据和代码都是免费的，公开可用。本文详细介绍了数据的设计，创建和验证。
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.
