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美国选区边界和全州党派选举结果
Brian Amos1, Steven Gerontakis2, Michael McDonald3
1Wichita State University, Department of Political Science, Wichita, Kansas, 67260, USA.
Scientific data
|October 30, 2024
概括
我们创建并验证了2016年,2018年和2020年大选的美国选区边界和选举结果的数据库. 这些开源数据可以将选举数据与美国人口普查信息相结合,用于研究和重新划分地区.
科学领域:
- 政治科学 政治科学是指政治学.
- 地理信息科学 地理信息科学
- 数据科学数据科学数据科学
背景情况:
- 美国的选举结果在选区级别报告,这是最小的地理单元.
- 访问选区级选举数据对于学术研究和实际应用至关重要.
- 将选举数据与其他地理数据集集集成,如美国人口普查数据,由于缺乏标准化的选区边界信息而受到阻碍.
研究的目的:
- 为2016年,2018年和2020年大选创建和验证美国选区边界的综合数据库.
- 增强这些数据库以选举结果为党派的全州办公室.
- 为研究人员,从业者和公众提供一个开源资源.
主要方法:
- 从州和地方选举官员那里收集了各种格式的选区边界数据 (GIS,图像,文本,口头).
- 使用地理编码的选民登记档案和其他选举数据验证了选区边界.
- 为2016年,2018年和2020年美国大选开发和策划数据库.
主要成果:
- 建立了三个主要选举周期的美国选区边界的经过验证的数据库.
- 整合了党派的全州选举结果,进入了区边界数据库.
- 创建了一个开源数据集,可以很容易地用于地理分析和与其他数据源集成.
结论:
- 开发的开源的选区边界和选举结果数据库是许多用例的宝贵资源.
- 这些数据已被用于备受目的重新区划诉讼,以及包括重新区划当局和媒体在内的各种组织.
- 这些数据的可用性有助于更好地对选举结果进行地理分析,并支持在重新选区和相关领域的知情决策.
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