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Intelligent Spatial Decision Support Systems

  • Book
  • © 1997

Overview

Authors:
  1. Yee Leung

    1. Department of Geography, and Center for Environmental Studies, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

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Part of the book series: Advances in Spatial Science (ADVSPATIAL)

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Table of contents (12 chapters)

  1. Front Matter

    Pages I-XV
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  2. Introduction

    • Yee Leung
    Pages 1-10

  3. Symbolic Approaches to Spatial Knowledge Representation and Inference

    • Yee Leung
    Pages 11-57

  4. Fuzzy Logic Approaches to Spatial Knowledge Representation and Inference

    • Yee Leung
    Pages 59-124

  5. Management of Uncertainty in Knowledge Representation and Inference

    • Yee Leung
    Pages 125-171

  6. Neural Network Approaches to Spatial Knowledge Representation and Inference

    • Yee Leung
    Pages 173-227

  7. Knowledge Acquisition for Spatial Inference — The Case of Genetic Algorithms

    • Yee Leung
    Pages 229-268

  8. Spatial Data Models and Data Structures

    • Yee Leung
    Pages 269-331

  9. Management of Models in Spatial Decision Support Systems

    • Yee Leung
    Pages 333-355

  10. An Expert System Shell for Building Spatial-Decision-Support-System Development Tool

    • Yee Leung
    Pages 357-391

  11. A Spatial Decision Support System for Flood Simulation and Damage Assessment Using FLESS

    • Yee Leung
    Pages 393-409

  12. An Object-Oriented Expert System Shell for Building Spatial Decision Support Systems

    • Yee Leung
    Pages 411-428

  13. Conclusion

    • Yee Leung
    Pages 429-432

  14. Back Matter

    Pages 433-472
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Keywords

About this book

In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models.

Authors and Affiliations

  • Department of Geography, and Center for Environmental Studies, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Yee Leung

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