Interpolated generalization: cartographic theory for expert-guided feature displacement

This paper develops algorithms addressing several aspects of interpolated generalization: displacement of matched endpoints separating geometrically simple feature sections, subsequent displacement of intermediate points in these sections, and simplification and smoothing. Tests based upon a contrived dataset demonstrate the ability of interpolated generalization to avoid graphic interference of otherwise overlapping features. Interpolated generalization is also useful in controlling and guiding the generation of simplified cartographic caricatures. -from Author