Data Visualization: The State of the Art
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 be...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2003
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
713 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (X, 453 p) |
| ISBN: | 9781461511779 |
| DOI: | 10.1007/978-1-4615-1177-9 |
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| 520 | |a 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. | ||
| 520 | |a 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. | ||
| 520 | |a 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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| id | DE-604.BV045148901 |
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| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781461511779 |
| language | English |
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| spelling | Data Visualization The State of the Art edited by Frits H. Post, Gregory M. Nielson, Georges-Pierre Bonneau Boston, MA Springer US 2003 1 Online-Ressource (X, 453 p) txt rdacontent c rdamedia cr rdacarrier 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 Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Numeric Computing Information Storage and Retrieval Computer Graphics Computer science Numerical analysis Information storage and retrieval Computer graphics Image processing Post, Frits H. edt Nielson, Gregory M. edt Bonneau, Georges-Pierre edt Erscheint auch als Druck-Ausgabe 9781461354307 https://doi.org/10.1007/978-1-4615-1177-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Data Visualization The State of the Art Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Numeric Computing Information Storage and Retrieval Computer Graphics Computer science Numerical analysis Information storage and retrieval Computer graphics Image processing |
| title | Data Visualization The State of the Art |
| title_auth | Data Visualization The State of the Art |
| title_exact_search | Data Visualization The State of the Art |
| title_full | Data Visualization The State of the Art edited by Frits H. Post, Gregory M. Nielson, Georges-Pierre Bonneau |
| title_fullStr | Data Visualization The State of the Art edited by Frits H. Post, Gregory M. Nielson, Georges-Pierre Bonneau |
| title_full_unstemmed | Data Visualization The State of the Art edited by Frits H. Post, Gregory M. Nielson, Georges-Pierre Bonneau |
| title_short | Data Visualization |
| title_sort | data visualization the state of the art |
| title_sub | The State of the Art |
| topic | Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Numeric Computing Information Storage and Retrieval Computer Graphics Computer science Numerical analysis Information storage and retrieval Computer graphics Image processing |
| topic_facet | Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Numeric Computing Information Storage and Retrieval Computer Graphics Computer science Numerical analysis Information storage and retrieval Computer graphics Image processing |
| url | https://doi.org/10.1007/978-1-4615-1177-9 |
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