Chapter 3: Data Representation
The exercises for Chapter 3 are added, for convenience, in a single PDF document.
Prerequisites: These exercises do require a thorough understanding of the mathematical background on data interpolation and resampling provided in Chapter 3. This, in turn, requires a reasonable amount of prior knowledge on calculus. Little or no programming knowledge is required.
Aims: The provided exercises are intended to test the overall understanding of the student of the aims, scope, and methods for discrete data representation using grids, in particular the way attribute interpolation works. A second aim is to test the knowledge on the representation of compact spatial domains using various types of grids. Finally, several exercises involve non-numerical data, and aim at developing insights on the differences between scivis and infovis data (which will be further refined in Chapter 11).