Techniques for Visualizing Time-Varying Volume Data
KWAN-LIU MA and ERIC B. LUM, University of California at Davis
26.1 Introduction
Our ability to study and understand complex, transient phenomena is critical to the solution of many scientific and engineering problems. Examples include data from the study of neuron excitement, crack propagation in a material, evolution of a thunderstorm, unsteady flow surrounding an aircraft, seismic reflection from geological strata, and the merging of galaxies. A typical time-varying dataset from a computational fluid dynamics (CFD) simulation can contain hundreds of time-steps, and each time-step can have more than millions of data points. Generally, multiple values are stored at each data point. ...
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