Progress in scientific visualization could be accelerated if workers could more readily find visualization techniques relevant to a given problem. The authors describe an approach to this problem, based on a classification of visualization techniques, that is independent of particular application domains. A user breaks up a problem into subproblems, describes these subproblems in terms of the objects to be represented and the operations to be supported by a representation, locates applicable visualization techniques in a catalog, and combines these representations into a composite representation for the original problem. The catalog and its underlying classification provide a way for workers in different application disciplines to share methods.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Wehrend et al. (2002) studied this question.
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