Kugler Tracy A, Manson Steven M, Donato Joshua R
Minnesota Population Center, University of Minnesota, 50 Willey Hall, 225 19th Avenue South, Minneapolis, MN 55455, USA, phone: +1-612-626-3933, fax: +1-612-626-8375.
Department of Geography, Environment, and Society, University of Minnesota, 414 Social Sciences, 267 19th Avenue South, Minneapolis, MN 55455, USA.
Comput Environ Urban Syst. 2017 May;63:26-37. doi: 10.1016/j.compenvurbsys.2016.07.007. Epub 2016 Jul 30.
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.
我们描述了一种将国家以下行政单位进行区域划分的策略，并结合随时间协调单位边界变化的方法，该方法可用于为人口普查微观数据提供小区域地理标识符。小区域标识符的可用性将个体微观数据的灵活性与汇总数据的空间特异性结合在一起。按行政单位对微观数据进行区域划分带来了诸多挑战，比如需要以确保保密性的方式汇总个体层面的数据，以及因空间边界随时间变化而产生的问题。我们描述了一种区域划分与协调策略，该策略创建了满足空间和其他约束条件的单位，同时以支持政策和研究用途的方式使单位数量最大化。我们针对马拉维、巴西和美国的三个测试案例描述了这种区域划分策略。我们测试了不同的算法，并开发了一种满足数据限制、计算要求以及终端用户数据需求的区域划分半自动策略。
