Exploring Relationships Between the Global and Regional Measures of Spatial Autocorrelation
研究了1990年美国人口密度在普查区块组、县和州三个层级上的空间依赖性，探讨了层级间关系及其全国变化，为可塑面积单元问题和空间自相关统计提供启示。
Abstract The objective of this research is to investigate dimensions of geographic variation in spatial dependency contained within large multilevel data sets. We calculate 1990 population density by census block group, county, and state for the 48 coterminous states and the District of Columbia of the United States, calculations of interest to a wide variety of spatial scientists. We explore relations between these levels and their variation across the nation. The empirical findings generated by this work furnish implications concerning the Modifiable Areal Unit Problem (MAUP), spatial autocorrelation statistics, scale effects, and resolution.