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Computational Neural Networks — Tools for Spatial Data Analysis

  • Manfred M. Fischer
Part of the Advances in Spatial Science book series (ADVSPATIAL)

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.

Keywords

Processing Element Radial Basis Function Network Hide Unit Output Unit Areal Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Manfred M. Fischer
    • 1
  1. 1.Department of Economic Geography & GeoinformaticsVienna University of Economics and Business AdministrationAustria

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