From Conventional to Knowledge Based Geographical Information Systems

    Publication: Working/Discussion PaperWU Working Paper

    Abstract

    Artificial intelligence (Al) has received an explosion of interest during the last five years in
    various fields. There is no longer any question that expert systems and neural networks will
    be of central importance for developing the next generation of more intelligent geographic
    information systems. Such knowledge based geographic information systems will especially
    play a key role in spatial decision and policy analysis related to issues such as environmental
    monitoring and management, land use planning, motor vehicle navigation and distribution
    logistics. This paper sketches briefly the major characteristics of conventional geographic
    information systems, and then looks at some of the potentials of Al principles and techniques
    in a GIS environment where emphasis is laid on expert systems and artificial neural networks
    technologies and techniques. (author's abstract)
    Original languageEnglish
    Place of PublicationVienna
    PublisherWU Vienna University of Economics and Business
    Publication statusPublished - 1994

    Publication series

    NameDiscussion Papers of the Institute for Economic Geography and GIScience
    No.35/94

    WU Working Paper Series

    • Discussion Papers of the Institute for Economic Geography and GIScience

    Cite this