ABSTRACT
This chapter discusses the importance of the generalization effects caused by manual and automated generalization, drawing on some of the findings of a quantitative study carried out. It also discusses how cartographic generalization effects are usually more serious than the effects caused by model generalization. The use of the terms may be further defined by an example. A map drawn on a scale of 1:24,000 should represent a region in detail as compared with a map of the same region drawn on a scale of 1:48,000, on which the representation must be confined to a broad generalization of the same features. The experiment involved determining if some type of structure inherent in the encoding process would provide useful knowledge for automated generalization, in particular simplification. In selecting the 31 lines an attempt was made to select a broad range of lines with a variety of geomorphic properties.
