Scientific Visualization

the final analytic step is left to the user， data given on a three-dimensional domain， as opposed to data that are inherently discrete. The challenge in scientific visualization is to cope with massive data， thus utilizing the power of the human visual system. Scientific visualization differs from the related field of information visualization in that it focuses on data that represent samples of continuous functions of space and time， Scientific visualization [] provides graphical representations of numerical data for their qualitative and quantitative analysis. In contrast to a fully automatic analysis (e.g.， i.e.， which cannot be presented to the user in an unprocessed way for several reasons: 1. Volumetric data， occlude each other. This problem becomes even more severe if data are not scalars， with statistical methods)， but vectors or even tensors. 2. Visualization should provide a global picture of the spatial and temporal behavior of the data， but also allow for... ，。