A problem-oriented classification of visualization techniques

  • Authors:
  • Stephen Wehrend;Clayton Lewis

  • Affiliations:
  • University of Colorado, Boulder, Boulder, CO;University of Colorado, Boulder, Boulder, CO

  • Venue:
  • VIS '90 Proceedings of the 1st conference on Visualization '90
  • Year:
  • 1990

Quantified Score

Hi-index 0.00

Visualization

Abstract

Progress in scientific visualization could be accelerated if workers could more readily find visualization techniques relevant to a given problem. This paper describes 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 representation 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.