Artificial Intelligent Methods for Handling Spatial Data

Fuzzy Rulebase Systems and Gridded Data Problems

  • Jörg Verstraete

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 370)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Preliminaries

    1. Front Matter
      Pages 1-1
    2. Jörg Verstraete
      Pages 3-12
    3. Jörg Verstraete
      Pages 13-21
    4. Jörg Verstraete
      Pages 23-28
  3. Translating the Spatial Problem

    1. Front Matter
      Pages 29-29
    2. Jörg Verstraete
      Pages 31-35
    3. Jörg Verstraete
      Pages 37-47
    4. Jörg Verstraete
      Pages 49-57
    5. Jörg Verstraete
      Pages 59-69
    6. Jörg Verstraete
      Pages 71-77
    7. Jörg Verstraete
      Pages 79-82
  4. Algorithm and Experiments

    1. Front Matter
      Pages 83-83
    2. Jörg Verstraete
      Pages 85-94
    3. Jörg Verstraete
      Pages 95-125
    4. Jörg Verstraete
      Pages 127-131
  5. Back Matter
    Pages 133-135

About this book


This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding.  The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.


Spatial Data Processing Regridding Map Overlay for Grids Applications of Fuzzy Inference Systems Applications of Rulebase Systems Adapting Fuzzy Rulebase Systems Processing of Gridded Spatial Datasets Grid Based Models Combining Gridded Datasets Combining Spatial Datasets Algorithms for Spatial Disaggregation Spatial Similarity between Different Grids Mamdani Rulebase Systems Defuzzification Methods

Authors and affiliations

  • Jörg Verstraete
    • 1
  1. 1.Systems Research InstitutePolish Academy of SciencesWarsawPoland

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