Abstract: Before modeling either of the two alternative sources of spatial dependence inherent in Galton's problem via a spatial lag or spatial error model, the researcher first has to determine whether her data exhibit spatial dependence. Is there spatial autocorrelation in the behavior or process the social scientist is seeking to explain? The first step in a spatial analysis involving areal data is to diagnose this spatial dependence in the absence of covariates. A variety of tests exist to diagnose univariate spatial autocorrelation in the absence of covariates. This chapter examines these tests and demonstrates how social scientists can employ them in their research.
Publication Year: 2015
Publication Date: 2015-10-29
Language: en
Type: book-chapter
Indexed In: ['crossref']
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