Discovery of Spatial Relationships in Spatial Data

Yee Leung ()
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Yee Leung: The Chinese University of Hong Kong

Chapter Chapter 5 in Knowledge Discovery in Spatial Data, 2010, pp 223-276 from Springer

Abstract: Abstract Study of relationships in space has been the core of geographical research. In the simplest case, we might be interested in their characterization by some simple indicators. Sometimes we might be interested in knowing how things co-vary in space. From the perspective of data mining, it is the discovery of spatial associations in data. Often time, we are interested in relationships in which the variation of one phenomenon can be explained by the variations of the other phenomena. In terms of data mining, we are looking for some kinds of causal relationships that might be expressed in functional forms. Statistics in general and spatial statistics in particular have been commonly employed in such studies (Cliff and Ord 1972; Anselin 1988; Cressie 1993).

Keywords: Spatial Autocorrelation; Null Distribution; Spatial Association; Geographically Weighted Regression; Regional Industrialization (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-02664-5_5

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