Full Citation
Title: Spatiotemporal aggregation for temporally extensive international microdata.
Citation Type: Journal Article
Publication Year: 2017
ISBN:
ISSN: 0198-9715
DOI: 10.1016/j.compenvurbsys.2016.07.007
NSFID:
PMCID:
PMID: 28736466
Abstract: We describe a strategy for regionalizing subnational administrative units in conjunction with harmonizing changes in unit boundaries over time that can be applied to provide small-area geographic identifiers for census microdata. The availability of small-area identifiers blends the flexibility of individual microdata with the spatial specificity of aggregate data. Regionalizing microdata by administrative units poses a number of challenges, such as the need to aggregate individual scale data in a way that ensures confidentiality and issues arising from changing spatial boundaries over time. We describe a regionalization and harmonization strategy that creates units that satisfy spatial and other constraints while maximizing the number of units in a way that supports policy and research use. We describe this regionalization strategy for three test cases of Malawi, Brazil, and the United States. We test different algorithms and develop a semi-automated strategy for regionalization that meets data restrictions, computation, and data demands from end users.
Url: http://www.ncbi.nlm.nih.gov/pubmed/28736466
Url: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC5519299
User Submitted?: No
Authors: Kugler, Tracy A; Manson, Steven M; Donato, Joshua R
Periodical (Full): Computers, environment and urban systems
Issue:
Volume: 63
Pages: 26-37
Countries: