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136995051
Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization)
Item #:
136995051
VUV 33964
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What Stands Out
Data Interpretation
Empowers users to efficiently interpret complex datasets, transforming raw data into understandable visual formats for better analysis and decision-making processes.
Interdisciplinary Approach
Blends mathematical principles with advanced visualization techniques, catering to a diverse audience from scientists to engineers, enhancing cross-disciplinary communication and collaboration.
Interactive Learning
Offers practical insights through interactive visualizations, enabling users to engage deeply with data while fostering a hands-on approach to learning scientific concepts.
Product Details
- One of the greatest scientific challenges of the 21st century is how to master, organize and extract useful knowledge from the overwhelming flow of information made available by today’s data acquisition systems and computing resources. Visualization is the premium means of taking up this challenge. This book is based on selected lectures given by leading experts in scientific visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and visualization systems. The book contains more than 350 color illustrations.
| Publisher | Springer |
| Publication date | 12 Feb. 2010 |
| Edition | Softcover reprint of hardcover 1st ed. 2006 |
| Language | English |
| Print length | 444 pages |
| ISBN-10 | 3642065392 |
| ISBN-13 | 978-3642065392 |
| Item weight | 617 g |
| Dimensions | 15.49 x 2.54 x 23.5 cm |
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Graphics & Multimedia Editorial Review
Scientific Visualization: The Visual Extraction Of Knowledge From Data (Mathematics And Visualization) is a comprehensive text published by Springer on February 12, 2010. This softcover edition reprints the essential concepts from the original hardcover first published in 2006, expanding on the idea that visual representation is crucial for harnessing knowledge from data. With a substantial print length of 444 pages, the book delves into the methodologies of scientific visualization, catering to individuals keen on mastering the visual extraction of insight from complex data sets. Readers will appreciate its well-structured approach, making complex topics accessible in the English language.
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Pros
- In-depth exploration of scientific visualization
- Published by reputable Springer
- Comprehensive 444-page content
- Softcover reprint of a well-regarded edition
- Detailed methodologies for data insight extraction
Cons
- Some may prefer hardcover editions over softcover
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