TOPOLOGICAL CONSTRAINTS, ACTIONS AND REFLEXES FOR GENERALIZATION BY OPTIMIZATION

Abstract

Generalization in the digital mapping and GIS world is the task of deriving smaller scale or lower resolution products from over-detailed spatial data. Optimization is one available mechanism for handling the often conflicting constraints involved in contextual generalization, where relationships with neighboring features are paramount. This paper studies the involvement of topological relationships in such constraints, and in the corresponding actions and reflexes which are invoked during optimization. It is based on investigations carried out while researching the development of an optimization engine as an extension to a commodity GIS (ArcGIS from ESRI). 1

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