Visualization of large data sets

The visualization of large data sets has special requirements. A typical example area is multivariate image analysis, especially in remote sensing, but hyperspectral imaging is also moving into other fields. Another is three-dimensional visualization of weather systems. 

Multi-way Analysis With Applications in the Chemical Sciences 

But large data sets are also produced by simulations and other technical calculations of high spatial resolution. For large data sets, individual points in the plots can not be recognized because there are too many of them and other representation techniques have to be found. 

Scientific visualization deals with visualizing large data sets. Both raw, derived and calculated data can be visualized. Large systems such as weather data (real data) and results of aerodynamic calculations (calculated data) are used frequently [Nielson et al. 1990, Jones 1996, Cleveland 1985, Cleveland McGill 1988], Scientific visualization uses images, color, volume rendering by interpolation, special symbols and animation. Sound is also included if appropriate. In this book, color is not used and animation is impossible with static figures, but they certainly have a future for visualization in three-way analysis. 

The human eye is very good at subjectively interpreting complex patterns and this is used to an advantage by examining plots. There are quite a number of plots, all with their own special properties. These plots are used abundantly in two-way analysis. They can also be adapted 

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