AI 中文总结
研究美国众议院地理与立法关联，通过将国会投票结果与GIS数据合并，检索标记法案、获取相关空间数据并构建数据库和地图原型，以识别创建相关系统的挑战，助力对国会代表性的可视化和分析。
AI 中文摘要
政治立法影响选民的福祉和生计。在美国国会，代表在法案和立法上的投票记录是公开的。这些法案有相关主题，如退伍军人事务、海岸监测、农业拨款等。本文展示了如何将国会投票结果与典型地理信息系统（GIS）数据合并，以比较立法者的投票与其选区地理情况，测量选区特征与立法者决策之间的关联。我们检索并标记了第118届美国众议院（2023年1月至2025年1月）的法案，检索了选区层面与各主题相关的空间数据，构建了连接法案信息和空间数据的后端数据库及交互式地图原型。我们的工作有助于识别创建更易访问和完整系统的挑战，该系统能促进对当代国会代表性本质的可视化和分析。本技术报告主要面向数据科学界成员，特别是对立法和地理数据感兴趣的人。
英文摘要
Political legislation affects the well-being and livelihoods of constituents. In the U.S. Congress a representative's voting record on bills and legislation is public. These bills have themes associated with them, such as veterans' affairs, coastal monitoring, agricultural appropriations, etc. A bill on veterans' affairs may affect a constituency differently if they have a high percentage of veterans. In this work, we demonstrate how congressional vote outcomes can be merged with typical geographic information systems (GIS) data to help compare a legislator's votes with the geographies of their constituencies to measure the association between district features and legislators' decisions. We retrieved and tagged bills from the 118th U.S. House of Representatives (Jan. 2023 - Jan. 2025) by manually assigning each bill a set of themes. We then retrieved spatial data at the congressional district level related to each theme. We built a backend database to connect bill information and spatial data, and an interactive map prototype displayed the spatial data related to each theme associated with each bill. Our work helps identify challenges to creating a more accessible and complete system that would facilitate the visualization and analysis of the nature of contemporary Congressional representation. This technical report is primarily written for members of the data science community, and specifically those interested in legislative and geographic data.
Comments35 pages, 9 figures, 6 tables. Link to map: https://doi.org/10.6084/m9.figshare.32680776. Research Team: Ashu Gupta, Cameron Owens, Benjamin Wilson-Langman, Max Hill, Jason Cox, Ian Arnold, Santiago Velez, Quinn Pearson, Yunhe Cui, Isaac Felix, Ryan Luong, Priya Parikh, Shubham Purish, Vivek Rao, Cat Tran, Mingkuan Yan, Christopher Yang, Clio Andris
