Exploratory Spatial Data Analysis Linking SpaceStat and ArcView

Luc Anselin and Shuming Bao
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Luc Anselin: West Virginia University
Shuming Bao: MathSoft, Inc.

Chapter 3 in Recent Developments in Spatial Analysis, 1997, pp 35-59 from Springer

Abstract: Abstract The extension of the functional capacity of geographic information systems with tools for spatial analysis has been an increasingly active area of research in recent years. Following Goodchild’s (1987) call to action [see also Goodchild (1992)], a growing number of conferences and workshops has been devoted to the topic in the academic GIS community, resulting in many articles and several edited volumes [among others, Fischer and Nijkamp (1993), Fotheringham and Rogerson (1994), Painho (1994), Fischer, Scholten and Unwin (1996)]. Among the types of analyses suitable for inclusion within the functionality of a GIS, spatial data analysis in particular has received considerable attention. Several conceptual frameworks have been suggested, proposing different degrees of linkages between GIS and spatial analysis, and outlining the types of spatial statistical techniques that would be most suitable for inclusion [examples are Openshaw (1991), Anselin and Getis (1992), Goodchild et al. (1992), Bailey (1994), Haining (1994), Openshaw and Fischer (1995)]. In broad terms, the proposed linkages can be described as either tight vs. loose [Goodchild et al. (1992)] or as encompassing vs. modular [Anselin and Getis (1992)] depending on the degree to which a module with “traditional” GIS functionality and a data analysis module are integrated into a single software environment.

Keywords: Spatial Autocorrelation; Spatial Association; Spatial Weight; Spatial Weight Matrix; Environmental System Research Institute (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1007/978-3-662-03499-6_3

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