北方城市的种族隔离与邻里变迁：新的 1900-1930 年历史 GIS 数据。

IF 1.6 2区历史学 Q1 HISTORY

Historical Methods Pub Date : 2016-01-01 Epub Date: 2016-09-26 DOI:10.1080/01615440.2016.1151393

Allison Shertzer, Randall P Walsh, John R Logan

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引用次数: 0

摘要

关于 1940 年以前美国城市的种族隔离和邻里变化的定量研究，大多采用人口普查局公布的选区级数据。人口普查手稿的转录使得将单个记录汇总到更精细的层次（即查点区 (ED)）成为可能。地理信息系统 (GIS) 的进步促进了这些数据的制图，为历史 GIS 研究开辟了新的可能性。我们在此报告了从 1900 年到 1930 年这十年间，在十个北方城市创建的 ED 公共使用数据集的制图情况。我们说明了现在可以开展的一系列研究课题：少数民族社区的招募、综合分区对社区变化的影响以及白人逃离黑人社区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Segregation and Neighborhood Change in Northern Cities: New Historical GIS Data from 1900-1930.

查看原文本刊更多论文

Segregation and Neighborhood Change in Northern Cities: New Historical GIS Data from 1900-1930.

Most quantitative research on segregation and neighborhood change in American cities prior to 1940 has utilized data published by the Census Bureau at the ward level. The transcription of census manuscripts has made it possible to aggregate individual records to a finer level, the enumeration district (ED). Advances in Geographic Information Systems (GIS) have facilitated mapping these data, opening new possibilities for historical GIS research. We report here the creation of a mapped public use data set for EDs in ten northern cities for each decade from 1900 to 1930. We illustrate a range of research topics that can now be pursued: recruitment into ethnic neighborhoods, the effects of comprehensive zoning on neighborhood change, and white flight from black neighbors.

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来源期刊

Historical Methods Multiple-

CiteScore

3.20

自引率

7.10%

发文量

期刊介绍： Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.