Advertisement

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Basic Notions and Rationale of the Handling of Imperfect Information in Spatio-Temporal Databases

  3. Theory

    1. Front Matter
      Pages 9-9
    2. Martin Erwig
      Pages 29-53
    3. Mirco Nanni, Alessandra Raffaetà, Chiara Renso, Franco Turini
      Pages 75-104
    4. Guy de Tré, Rita de Caluwe, Jörg Verstraete, Axel Hallez
      Pages 127-158
    5. Adnan Yazici, Öznur Yavuz, Roy George
      Pages 181-210
    6. Eliseo Clementini
      Pages 211-236
    7. María J. Somodevilla, Fred E. Petry
      Pages 237-263
  4. Applications

    1. Front Matter
      Pages 295-295
    2. Paola Carrara, Gabriella Pasi, Monica Pepe, Anna Rampini
      Pages 297-313
    3. Sidharta Gautama, Johan D’Haeyer, Wilfried Philips
      Pages 351-367
    4. Tom De Muer, Andy Verkeyn, Dick Botteldooren
      Pages 369-392

About this book

Introduction

Spatio-Temporal Databases explores recent trends in flexible querying and reasoning about time- and space-related information in databases. It shows how flexible querying enhances standard querying expressiveness in many different ways, with the aim of facilitating extraction of relevant data and information. Flexible spatial and temporal reasoning denotes qualitative reasoning about dynamic changes in the spatial domain, characterized by imprecision or uncertainty (or both). Many of the contributions focus on GIS, while some others are more general, or focus on related application fields, presenting theoretical viewpoints and techniques that are inspiring or can be adapted for GIS. The first part bundles the contributions on advances at the theoretical level, also discussing examples and opening further perspectives. The second part presents contributions on well-developed applications. The authors explain how to handle imprecision and uncertainty, demonstrating how advanced techniques can help to solve diverse problems related to GIS.

Keywords

Change detection GIS Geoinformationssysteme calculus classification database digital elevation model fuzzy fuzzy set geographic data linear optimization model modeling remote sensing spatial information

Editors and affiliations

  • Rita de Caluwe
    • 1
  • Guy de Tré
    • 1
  • Gloria Bordogna
    • 2
  1. 1.Dept. of Telecommunications and Information Processing, Computer Science LaboratoryGhent UniversityGhentBelgium
  2. 2.CNR IDPA — Institute for Environmental Process DynamicsItalian National Research CouncilDalmine (BG)Italy

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-09968-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-06070-0
  • Online ISBN 978-3-662-09968-1
  • Buy this book on publisher's site