抄録
Scientific visualization is widely used for the analysis of datasets obtained from measurements and numerical simulations. However, scientists and engineers are not always visualization experts who are familiar with how to map their numerical data to proper graphical primitives to yield optimal visualization. Therefore, we have built on modular visualization environments (MVEs) to develop a design support system, called GADGET, for scientific visualization applications. In this paper, we attempt to reexamine specifications for design directives to make the GADGET system tailored to visual flow data mining.
