ABSTRACT
DOMAIN-MODELING techniques form the last class of visualization tech-niques. By domain-modeling techniques, we mean those operations on datasets that modify the sampling domain representation (e.g., the grid) but not the sampled data. As we shall see, domain modeling techniques can modify the actual values of the data attributes stored on a given grid, for example in the case of resampling the data on a different grid. However, this modification does not change the reconstructed function, so the meaning of the data attributes stays the same, even though their internal representation may change. In this chapter, we shall present a number of different modeling techniques: cutting (Section 8.1), selection (Section 8.2), constructing grids from scattered points (Section 8.3), and grid processing techniques (Section 8.4).
