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Exploring Relationships Between the Global and Regional Measures of Spatial Autocorrelation
Author(s) -
Griffith Daniel A.,
Wong David W. S.,
Whitfield Thomas
Publication year - 2003
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/j.0022-4146.2003.00316.x
Subject(s) - spatial analysis , geography , autocorrelation , spatial ecology , scale (ratio) , census , spatial variability , population , block (permutation group theory) , unit (ring theory) , statistics , variety (cybernetics) , variation (astronomy) , regional science , econometrics , cartography , demography , mathematics , remote sensing , ecology , sociology , geometry , mathematics education , biology , physics , astrophysics
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.