14 Ways to Say Nothing with Scientific Visualization
Scientific visualization can be used to produce very beautiful images. Frequently users and other... more Scientific visualization can be used to produce very beautiful images. Frequently users and others not properly initiated into the mysteries of visualization research fail to appreciate the artistic qualities of these images. Scientists will frequently use our work to needlessly understand the data from which it is derived. This paper describes a number of effective techniques to confound such pernicious activity.
Those not properly initiated into the mysteries of visualization research often seek to understan... more Those not properly initiated into the mysteries of visualization research often seek to understand the images rather than appreciate their beauty. Such pernicious activity must be discouraged. U pon reading David Bailey's seminal work, "Twelve Ways to Fool the Masses When Giving Performance Results on Parallel Computers."' we were struck bv the brilliant simplicity of the concept. Bailey ends with the admonition, "Conclude your technical presentation and roll the videotape. Audiences love razzle-dazzle color graphics, and this material often helps deflect attention from the substantive technical issues." Unfortunately. Bailey gives n o guidance in the means and methods for producing such a result. This article humbly seeks to fill this void. There are numerous time-tested scientific visualization techniques for producing pretty pictures while avoiding unnecessary illumination of the data. Our collection has been culled from the scientific visualization literature and numerous presentations we have given and attended.
Visualization environments have two audiences: scientists and programmers. W e suggest that many ... more Visualization environments have two audiences: scientists and programmers. W e suggest that many existing platforms overemphasize ease-of-use and do not adequately address issues of extensibility. We have built a visualization testbed, called SuperGlue, which is particularly suited for the rapid development of new visualization methods. A n interpreter supports rapid development of new code and an extensive class hierarchy encourages code reuse. B y explicitly designing for ease of programming, we have produced a visualization system which is powerful, easy t o use, and rapidly improving. This report describes the motivation of the work, the architecture of the system, and our plans for further development.
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