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Computational Neural Networks — Tools for Spatial Data Analysis

In: GeoComputational Modelling

Author

Listed:
  • Manfred M. Fischer

    (Vienna University of Economics and Business Administration)

Abstract

The proliferation and dissemination of digital spatial databases, coupled with the ever wider use of Geographic Information Systems [GIS] and Remote Sensing [RS] data, is stimulating increasing interest in spatial analysis from outside the spatial sciences. The recognition of the spatial dimension in social science research sometimes yields different and more meaningful results than analysis that ignores it.

Suggested Citation

  • Manfred M. Fischer, 2001. "Computational Neural Networks — Tools for Spatial Data Analysis," Advances in Spatial Science, in: Manfred M. Fischer & Yee Leung (ed.), GeoComputational Modelling, chapter 2, pages 15-34, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-04637-1_2
    DOI: 10.1007/978-3-662-04637-1_2
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