Methods for Handling Imperfect Spatial Information

  • Robert Jeansoulin
  • Odile Papini
  • Henri Prade
  • Steven Schockaert

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 256)

Table of contents

  1. Front Matter
  2. Introduction: Uncertainty Issues in Spatial Information

    1. Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert
      Pages 1-11
  3. Part 1: Describing Spatial Configurations

    1. Front Matter
      Pages 13-13
    2. Brandon Bennett
      Pages 15-47
    3. Pascal Matsakis, Laurent Wendling, JingBo Ni
      Pages 49-74
    4. Theresa Beaubouef, Frederick E. Petry
      Pages 103-129
  4. Part 2: Symbolic Reasoning and Information Merging

    1. Front Matter
      Pages 131-131
    2. Florence Dupin de Saint-Cyr, Odile Papini, Henri Prade
      Pages 133-163
    3. Omar Doukari, Robert Jeansoulin, Eric Würbel
      Pages 165-188
    4. Steven Schockaert, Philip D. Smart
      Pages 211-239
  5. Part 3: Prediction and Interpolation

  6. Back Matter

About this book


Spatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect interpretation of remote sensing images, while people attach ill-defined or ambiguous labels to places and their properties. As another example, medical images are often the result of measurements by imprecise sensors (e.g. MRI scans). Moreover, by processing spatial information in real-world applications, additional uncertainty is introduced, e.g. due to the use of interpolation/extrapolation techniques or to conflicts that are detected in an information fusion step. To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the setting of geographical information systems. Uncertainty issues are especially addressed from a representation and reasoning point of view. In particular, the book consists of 14 chapters, which are clustered around three central topics. The first of these topics is about the uncertainty in meaning of linguistic descriptions of spatial scenes. Second, the issue of reasoning about spatial relations and dealing with inconsistency in information merging is studied. Finally, interpolation and prediction of spatial phenomena are investigated, both at the methodological level and from an application-oriented perspective. The concept of uncertainty by itself is understood in a broad sense, including both quantitative and more qualitative approaches, dealing with variability, epistemic uncertainty, as well as with vagueness of terms.


Computational Intelligence Spatial Information Processing Uncertainty Handling

Editors and affiliations

  • Robert Jeansoulin
    • 1
  • Odile Papini
    • 2
  • Henri Prade
    • 3
  • Steven Schockaert
    • 4
  1. 1.IGM Université Paris EstChamps-sur-MarneFrance
  2. 2.LSIS UMR CNRSMarseilleFrance
  3. 3.Université Paul SabatierToulouseFrance
  4. 4.Ghent UniversityGhentBelgium

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-14754-8
  • Online ISBN 978-3-642-14755-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
Industry Sectors
IT & Software
Oil, Gas & Geosciences