Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 713)
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Table of contents (30 chapters)
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Front Matter
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Visualization Algorithms and Techniques
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Front Matter
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Volume Visualization
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Front Matter
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Information Visualization
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Front Matter
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Keywords
About this book
These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics:
-Visualization Algorithms and Techniques;
-Volume Visualization;
-Information Visualization;
-Multiresolution Techniques;
-Interactive Data Exploration.
Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization.
Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.
Editors and Affiliations
Bibliographic Information
Book Title: Data Visualization
Book Subtitle: The State of the Art
Editors: Frits H. Post, Gregory M. Nielson, Georges-Pierre Bonneau
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-1177-9
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Hardcover ISBN: 978-1-4020-7259-8Published: 31 December 2002
Softcover ISBN: 978-1-4613-5430-7Published: 29 October 2012
eBook ISBN: 978-1-4615-1177-9Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: X, 453
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Numeric Computing, Information Storage and Retrieval, Computer Graphics