优化了1990年,2000年和2010年美国人口普查微数据的空间信息
Christopher S Fowler1, James D Gaboardi2, Jonathan P Schroeder3
1Department of Geography, Penn State University, State College, USA. csfowler@psu.edu.
Scientific data
|January 5, 2024
概括
我们提高了1990年,2000年和2010年美国十年人口普查数据的空间准确性. 优化空间人口普查信息跨时间链接 (OSCILAT) 数据集使得精确的小区域变化分析成为可能.
科学领域:
- 人口统计学 人口统计学
- 地理信息科学 地理信息科学
- 统计数据管理 统计数据管理
背景情况:
- 美国历史上的十年人口普查数据缺乏精确的空间准确性.
- 在最近的改进之前,人口普查答复中的空间信息是有限的.
- 随着时间的推移,分析小地理区域带来了重大数据挑战.
研究的目的:
- 升级1990年,2000年和2010年美国十年人口普查响应的位置精度.
- 创建一个链接的数据集 (OSCILAT),以改善空间和纵向分析.
- 为了实现对任意空间单位的人口普查数据的准确表格化.
主要方法:
- 开发和应用方法来提高历史人口普查响应数据的空间准确性.
- 将1990年,2000年和2010年人口普查数据整合到一个统一的,空间改进的数据集中.
- 在受限制的联邦统计研究数据中心 (FSRDC) 数据仓库中存储了跨时间链接的优化空间人口普查信息 (OSCILAT).
主要成果:
- 在1990年,2000年和2010年美国十年人口普查中,成功升级了所有响应的位置精度.
- 欧西拉特数据集显著提高了旧人口普查数据的空间准确性和完整性.
- 实现精确的空间和纵向分析,包括在2020年区块边界内的表格.
结论:
- 欧西拉特数据集为更准确的历史人口统计研究提供了基础.
- 增强的空间数据有助于精确测量小地理区域随时间的变化.
- 通过FSRDC系统访问OSCILAT,支持详细分析美国人口动态.
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