协调跨时间和地点的异构数据:集成的时空聚合数据系列。

IF 1.6 2区历史学 Q1 HISTORY

Historical Methods Pub Date : 2011-01-01 DOI:10.1080/01615440.2011.563228

Petra Noble, David VAN Riper, Steven Ruggles, Jonathan Schroeder, Monty Hindman

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引用次数: 7

摘要

在本文中，作者描述了明尼苏达州人口中心正在开发的一个新的数据基础设施项目。综合时空汇总数据系列(ISTADS)将使研究人员更容易使用美国公开可用的汇总数据，这些数据几乎涵盖了美国的整个生命周期:1790-2012。除了便利获取和易于使用外，该系统还将促进在制图和空间分析中使用这些不同的数据集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Harmonizing Disparate Data across Time and Place: The Integrated Spatio-Temporal Aggregate Data Series.

In this article, the authors describe a new data infrastructure project being developed at the Minnesota Population Center. The Integrated Spatio-Temporal Aggregate Data Series (ISTADS) will make it easier for researchers to use publicly available aggregate data for the United States over a time span that covers virtually the entire life of the nation: 1790-2012. In addition to facilitating access and ease of use, ISTADS will facilitate the use of these various data sets in mapping and spatial analysis.

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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.