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Topology-based Methods in Visualization

  • Conference proceedings
  • © 2007

Overview

  • Book on core topic in visualization
  • Includes supplementary material: sn.pub/extras

Part of the book series: Mathematics and Visualization (MATHVISUAL)

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Table of contents (13 papers)

Keywords

About this book

Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued.

Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop “Topology-Based Methods in Visualization” that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research.

Editors and Affiliations

  • Department of Informatics, University of Bergen, Bergen, Norway

    Helwig Hauser

  • Fachbereich Informatik, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Hans Hagen

  • Universität Bielefeld, Universität Bielefeld, Bielefeld, Germany

    Holger Theisel

Bibliographic Information

  • Book Title: Topology-based Methods in Visualization

  • Editors: Helwig Hauser, Hans Hagen, Holger Theisel

  • Series Title: Mathematics and Visualization

  • DOI: https://doi.org/10.1007/978-3-540-70823-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Hardcover ISBN: 978-3-540-70822-3Published: 25 June 2007

  • Softcover ISBN: 978-3-642-08977-0Published: 18 November 2010

  • eBook ISBN: 978-3-540-70823-0Published: 24 May 2007

  • Series ISSN: 1612-3786

  • Series E-ISSN: 2197-666X

  • Edition Number: 1

  • Number of Pages: X, 222

  • Topics: Visualization, Computer Graphics, Topology

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