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Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisition

In: GeoComputational Modelling

Author

Listed:
  • Yee Leung

    (The Chinese University of Hongkong)

Abstract

Non-linearity, complexity and dynamics have become a focal point of research in spatial analysis, especially in the analysis of spatial data. Regardless of what we are dealing with, the need to handle systems with a high degree of complexity is now the rule rather than the exception. With our spatial systems becoming more and more complex and highly fluid, non-linearity prevails and evolution is full of surprises. It is essential to develop approaches which can effectively analyse complexity, non-linearity and dynamics in spatial systems in general, and in particular spatial classification and knowledge acquisition.

Suggested Citation

  • Yee Leung, 2001. "Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisition," Advances in Spatial Science, in: Manfred M. Fischer & Yee Leung (ed.), GeoComputational Modelling, chapter 4, pages 71-108, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-04637-1_4
    DOI: 10.1007/978-3-662-04637-1_4
    as

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