Buch,
The Visualization Handbook
Academic Press, (Dezember 2004)
Zusammenfassung
The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field. <br><br>This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a whos who of international scientific visualization researchers covering every aspect of the discipline, including:<br>· Virtual environments for visualization<br>· Basic visualization algorithms<br>· Large-scale data visualization<br>· Scalar data isosurface methods<br>· Visualization software and frameworks<br>· Scalar data volume rendering<br>· Perceptual issues in visualization<br>· Various application topics, including information visualization.<br><br>* Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields;<br>* Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization. Visualization involves constructing graphical interfaces that enable humans to understand complex data sets; it helps humans overcome their natural limitations in terms of extracting knowledge from the massive volumes of data that are now routinely connected. The best argument for scientific visualization is that today's researchers must consume ever higher volumes of numbers that gush, as if from a fire hose, out of supercomputer simulations or high-powered scientific instruments. If researchers try to read the data, usually presented as vast numeric matrices, they will take in the information at snail's pace. If the information is rendered graphically, however, they can assimilate it at a much faster rate Rapid advances in 3-D scientific visualization have made a major impact on the display of data/information.
