Data visualization techiques
Author(s)
Bibliographic Information
Data visualization techiques
（Trends in software, 6）
John Wiley & Sons, c1999
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Note
Bibliography: p. [131]-144
Description and Table of Contents
Description
Data visualization concerns the manipulation of sampled and computed data for comprehensive display. The goal of the visualization is to bring to the user a deeper understanding of the data as well as the underlying laws and properties. Presenting massive amounts of data as images, it is possible to focus on important information and understand the science behind the data without being weighed down by less critical material. Motion and interaction in visualization also allow focus and better comprehension of the information displayed. This work addresses aspects of interactivity in the visualization of field data as well as data structures and algorithmic techniques for efficient computation and visualization.
Table of Contents
- Visualization Paradigms (C. Bajaj)
- Efficient Techniques for Volume Rendering of Scalar Fields (R. Yagel)
- Accelerated Isocontouring of Scalar Fields (C. Bajaj, et al.)
- Surface Interrogation: Visualization Techniques for Surface Analysis (S. Hahmann)
- Vector Field Visualization Techniques (R. Crawfis & N. Max)
- Applications of Texture Mapping to Volume and Flow Visualization (N. Max, et al.)
- Continuous Bayesian Tissue Classification of Visualization (D. Laidlaw)
- References.
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