Abstract
This paper presents a GIS-based program that fully automates the measurement of spatial autocorrelation. In addition to being operational and practical, the program is flexible, as it allows the researcher to test alternative definitions of locational proximity between area objects. The program is applied to the study of the spatial impact of growth-control policies in the San Francisco Bay Region. This application example demonstrates that the technique of spatial autocorrelation is potentially useful for the study of the spatial consequences of public policies, and that GIS can effectively facilitate this kind of study.
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