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Methods for Handling Imperfect Spatial Information

  • Book
  • © 2010

Overview

Editors:
  1. Robert Jeansoulin

    1. IGM Université Paris Est, Champs-sur-Marne, France

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  2. Odile Papini

    1. LSIS UMR CNRS, Marseille, France

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  3. Henri Prade

    1. Université Paul Sabatier, Toulouse, France

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  4. Steven Schockaert

    1. Ghent University, Ghent, Belgium

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  • Recent research on Uncertainty Handling in Spatial Information Processing
  • State-of-the Art book
  • Written by leading experts in this field

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

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Table of contents (14 chapters)

  1. Front Matter

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  2. Introduction: Uncertainty Issues in Spatial Information

    1. Introduction: Uncertainty Issues in Spatial Information

      • Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert
      Pages 1-11

  3. Part 1: Describing Spatial Configurations

    1. Front Matter

      Pages 13-13
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    2. Spatial Vagueness

      • Brandon Bennett
      Pages 15-47

    3. A General Approach to the Fuzzy Modeling of Spatial Relationships

      • Pascal Matsakis, Laurent Wendling, JingBo Ni
      Pages 49-74

    4. Bipolar Fuzzy Spatial Information: Geometry, Morphology, Spatial Reasoning

      • Isabelle Bloch
      Pages 75-102

    5. Fuzzy and Rough Set Approaches for Uncertainty in Spatial Data

      • Theresa Beaubouef, Frederick E. Petry
      Pages 103-129

  4. Part 2: Symbolic Reasoning and Information Merging

    1. Front Matter

      Pages 131-131
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    2. An Exploratory Survey of Logic-Based Formalisms for Spatial Information

      • Florence Dupin de Saint-Cyr, Odile Papini, Henri Prade
      Pages 133-163

    3. Revising Geographical Knowledge: A Model for Local Belief Change

      • Omar Doukari, Robert Jeansoulin, Eric Würbel
      Pages 165-188

    4. Merging Expressive Spatial Ontologies Using Formal Concept Analysis with Uncertainty Considerations

      • Olivier Curé
      Pages 189-209

    5. Generating Fuzzy Regions from Conflicting Spatial Information

      • Steven Schockaert, Philip D. Smart
      Pages 211-239

  5. Part 3: Prediction and Interpolation

    1. Front Matter

      Pages 241-241
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    2. Fuzzy Methods in Image Mining

      • Alfred Stein
      Pages 243-268

    3. Kriging and Epistemic Uncertainty: A Critical Discussion

      • Kevin Loquin, Didier Dubois
      Pages 269-305

    4. Scaling Cautious Selection in Spatial Probabilistic Temporal Databases

      • Francesco Parisi, Austin Parker, John Grant, V. S. Subrahmanian
      Pages 307-340

    5. Imperfect Spatiotemporal Information Analysis in a GIS: Application to Archæological Information Completion Hypothesis

      • Cyril de Runz, Eric Desjardin
      Pages 341-356

    6. Uncertainty in Interaction Modelling: Prospecting the Evolution of Urban Networks in South-Eastern France

      • Giovanni Fusco
      Pages 357-378

  6. Back Matter

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Keywords

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.

Editors and Affiliations

  • IGM Université Paris Est, Champs-sur-Marne, France

    Robert Jeansoulin

  • LSIS UMR CNRS, Marseille, France

    Odile Papini

  • Université Paul Sabatier, Toulouse, France

    Henri Prade

  • Ghent University, Ghent, Belgium

    Steven Schockaert

Bibliographic Information

  • Book Title: Methods for Handling Imperfect Spatial Information

  • Editors: Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-14755-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-14754-8Published: 04 October 2010

  • Softcover ISBN: 978-3-642-26534-1Published: 05 December 2012

  • eBook ISBN: 978-3-642-14755-5Published: 02 October 2010

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XII, 380

  • Number of Illustrations: 68 b/w illustrations, 55 illustrations in colour

  • Topics: Mathematical and Computational Engineering

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