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DOI:	10.1371/journal.pone.0115626
论文题名:	Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization
作者:	Seth E. Spielman; David C. Folch
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2015
发表日期:	2015-2-27
卷:	10, 期:2
语种:	英语
英文关键词:	Census ; Algorithms ; Housing ; Surveys ; Geographic areas ; Optimization ; Statistical data ; Geoinformatics
英文摘要:	The American Community Survey (ACS) is the largest survey of US households and is the principal source for neighborhood scale information about the US population and economy. The ACS is used to allocate billions in federal spending and is a critical input to social scientific research in the US. However, estimates from the ACS can be highly unreliable. For example, in over 72% of census tracts, the estimated number of children under 5 in poverty has a margin of error greater than the estimate. Uncertainty of this magnitude complicates the use of social data in policy making, research, and governance. This article presents a heuristic spatial optimization algorithm that is capable of reducing the margins of error in survey data via the creation of new composite geographies, a process called regionalization. Regionalization is a complex combinatorial problem. Here rather than focusing on the technical aspects of regionalization we demonstrate how to use a purpose built open source regionalization algorithm to process survey data in order to reduce the margins of error to a user-specified threshold.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0115626&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/20458
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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File Name/ File Size	Content Type	Version	Access	License
journal.pone.0115626.PDF（4412KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Geography Department and Institute of Behavioral Science, University of Colorado at Boulder, Boulder, Colorado, USA;Department of Geography, Florida State University, Tallahassee, Florida, USA

Recommended Citation:

Seth E. Spielman,David C. Folch. Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization[J]. PLOS ONE,2015-01-01,10(2)

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