A visualization technique is used to create and manipulate a graphic representation from a set of data. Some techniques will be appropriate only for specific applications while others are more generic and can be used in many applications. This section focuses on generic techniques.

It should always be kept in mind that the goal of visualization is not to understand the data but to understand the underlying phenomenon.

There are three parts to a visualization technique:

- The construction of an empirical model from the data. This construction may involve sampling theory considerations, such as the Nyquist theorem, and general mathematical interpolation schemes. If the data contains errors then this must be taken into account.
- The selection of some schematic means of depicting the model as some abstract visualization object, such as an image of a contour map.
- The rendering of the image on a graphics display

Main Visualization
Techniques page

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