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Discovery of Spatial Relationships in Spatial Data

In: Knowledge Discovery in Spatial Data

Author

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  • Yee Leung

    (The Chinese University of Hong Kong)

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).

Suggested Citation

  • Yee Leung, 2010. "Discovery of Spatial Relationships in Spatial Data," Advances in Spatial Science, in: Knowledge Discovery in Spatial Data, chapter 0, pages 223-276, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-02664-5_5
    DOI: 10.1007/978-3-642-02664-5_5
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    Cited by:

    1. Hoehun Ha & Wei Tu, 2018. "An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States," IJERPH, MDPI, vol. 15(4), pages 1-16, April.

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