Overview
- Editors:
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Hans-Christian Hege
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Konrad-Zuse-Zentrum für Informationstechnik Berlin Devision Scientific Computing, Department Visualization and Data Analysis, Berlin, Germany
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Konrad Polthier
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Institut für Mathematik, Freie Universität Berlin, Berlin, Germany
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Gerik Scheuermann
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Fakultät für Mathematik und Informatik Institut für Informatik, Universität Leipzig, Leipzig, Germany
- Book on core topic in visualization
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
Pages i-viii
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- Christoph Garth, Guo-Shi Li, Xavier Tricoche, Charles D. Hansen, Hans Hagen
Pages 1-13
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- Filip Sadlo, Ronald Peikert
Pages 15-29
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- Alexander Wiebel, Xavier Tricoche, Gerik Scheuermann
Pages 31-43
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- Chandrajit Bajaj, Andrew Gillette, Samrat Goswami
Pages 45-58
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- Hamish Carr, Jack Snoeyink
Pages 59-73
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- Kuangyu Shi, Holger Theisel, Helwig Hauser, Tino Weinkauf, Kresimir Matkovic, Hans-Christian Hege et al.
Pages 75-88
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- Tobias Salzbrunn, Gerik Scheuermann
Pages 89-100
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- Nelson Max, Tino Weinkauf
Pages 101-114
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- Bernd Krauskopf, Hinke M Osinga, Eusebius J Doedel
Pages 115-126
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- Markus Rutten, Gert Böhme
Pages 127-144
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- Ronald Peikert, Filip Sadlo
Pages 145-160
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- Robert S. Laramee, Guoning Chen, Monika Jankun-Kelly, Eugene Zhang, David Thompson
Pages 161-176
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About this book
Visualization research aims to provide insight into large, complicated data sets and the phenomena behind them. While there are di?erent methods of reaching this goal, topological methods stand out for their solid mathem- ical foundation, which guides the algorithmic analysis and its presentation. Topology-based methods in visualization have been around since the beg- ning of visualization as a scienti?c discipline, but they initially played only a minor role. In recent years,interest in topology-basedvisualization has grown andsigni?cantinnovationhasledto newconceptsandsuccessfulapplications. The latest trends adapt basic topological concepts to precisely express user interests in topological properties of the data. This book is the outcome of the second workshop on Topological Methods in Visualization, which was held March 4–6, 2007 in Kloster Nimbschen near Leipzig,Germany.Theworkshopbroughttogethermorethan40international researchers to present and discuss the state of the art and new trends in the ?eld of topology-based visualization. Two inspiring invited talks by George Haller, MIT, and Nelson Max, LLNL, were accompanied by 14 presentations by participants and two panel discussions on current and future trends in visualization research. This book contains thirteen research papers that have been peer-reviewed in a two-stage review process. In the ?rst phase, submitted papers where peer-reviewed by the international program committee. After the workshop accepted papers went through a revision and a second review process taking into account comments from the ?rst round and discussions at the workshop. Abouthalfthepapersconcerntopology-basedanalysisandvisualizationof ?uid?owsimulations;twopapersconcernmoregeneraltopologicalalgorithms, while theremaining papers discuss topology-based visualization methods in application areas like biology, medical imaging and electromagnetism.
Editors and Affiliations
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Konrad-Zuse-Zentrum für Informationstechnik Berlin Devision Scientific Computing, Department Visualization and Data Analysis, Berlin, Germany
Hans-Christian Hege
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Institut für Mathematik, Freie Universität Berlin, Berlin, Germany
Konrad Polthier
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Fakultät für Mathematik und Informatik Institut für Informatik, Universität Leipzig, Leipzig, Germany
Gerik Scheuermann