Spatiotemporal aggregation for temporally extensive international microdata.
Spatiotemporal aggregation for temporally extensive international microdata.
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DOI：
10.1016/j.compenvurbsys.2016.07.007
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发表时间：
2017-05
期刊：
影响因子：
--
通讯作者：
Donato JR
中科院分区：
文献类型：
--
作者：
Kugler TA;Manson SM;Donato JR
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.
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