63.Visualization and Computer Graphics by John G. Webster (Editor)

By John G. Webster (Editor)

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All Rights Reserved. 2008 11:43:39 ❍ ❍ ❍ Advanced Product Search Search All Content Acronym Finder 640 FLOW VISUALIZATION FLOW VISUALIZATION Visualization has become an essential part of scientific and engineering practice to help analyze the massive data fields being generated from supercomputer simulations and laboratory observations. A field is any physical quantity, such as density or force, for which a value is defined at every point of a given spatial domain. Data fields can consist of discretized scalar, vector, or tensor quantities or any combination thereof.

For 2-D scalar data, or a 2-D slice in 3-D space, this mapping might involve a simple color map. Here a range of the scalar variable is mapped onto a range of a color spectrum, often using simple linear interpolation. , an orangered range and a blue-green range) to depict the variables. It can be confusing to the viewer to use more than three color ranges to depict variables. Also different color ranges can bring out or obscure features in the data; they can even introduce visual artifacts such as discontinuities where none exist in continuous data.

The big impetus for data visualization was the appearance of interactive 3-D graphics workstations with pipelined geometry hardware and fast, rasterized image displays. Starting in the early 1980s such companies as Silicon Graphics, Stellar, and Pixar began to produce these workstations. At the same time the development of supercomputers like those from Cray and CDC, which were generally available to scientists and engineers (starting in 1985) through the national supercomputer centers, has meant the appearance of more complicated applications generating significantly larger amounts of data.

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