This article reviews some of the special properties of spatial data and the ways in which these properties have influenced developments in spatial data analysis. The discussion focuses on exploratory and model-driven (confirmatory) modes of analyzing spatial data, in particular spatial point patterns and area data, which occupy a prominent position in social science research. The article concludes with a brief discussion of some key areas in which the field of spatial data analysis has been growing in recent years.
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