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Data Visualization - The State of the Art
Frits H. Post; Gregory M. Nielson; Georges-Pierre Bonneau
Springer-Verlag New York Inc. (2002)
Kovakantinen kirja
129,90
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Scientific Visualization: The Visual Extraction of Knowledge from Data
Georges-Pierre Bonneau; Thomas Ertl; Gregory M. Nielson
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005)
Kovakantinen kirja
172,80
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Scientific Visualization: The Visual Extraction of Knowledge from Data
Georges-Pierre Bonneau (ed.); Thomas Ertl (ed.); Gregory M. Nielson (ed.)
Springer (2010)
Pehmeäkantinen kirja
172,80
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Data Visualization - The State of the Art
Frits H. Post; Gregory M. Nielson; Georges-Pierre Bonneau
Springer-Verlag New York Inc. (2012)
Pehmeäkantinen kirja
129,90
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Focus on Scientific Visualization
Hans Hagen; Heinrich Müller; Gregory M. Nielson
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2014)
Pehmeäkantinen kirja
49,60
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Data Visualization - The State of the Art
129,90 €
Springer-Verlag New York Inc.
Sivumäärä: 453 sivua
Asu: Kovakantinen kirja
Painos: 2003
Julkaisuvuosi: 2002, 31.12.2002 (lisätietoa)
Kieli: Englanti
Tuotesarja: The Springer International Series in Engineering and Computer Science 713
Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources.
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.

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Data Visualization - The State of the Art
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