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Automated building generalization based on urban morphology and Gestalt theory
International Journal of Geographical Information Science
Building generalization is a difficult operation due to the complexity of the spatial distribution of buildings and for reasons of spatial recognition. In this study, building generalization is decomposed into two steps, i.e. building grouping and generalization execution. The neighbourhood model in urban morphology provides global constraints for guiding the global partitioning of building sets on the whole map by means of roads and rivers, by which enclaves, blocks, superblocks ordoi:10.1080/13658810410001702021 fatcat:4iiq42oewvatho44ofsiudekaq