Generalization of spatial databases consists of complicated operations including not only geometric transformations but also topo-logical changes. The changes often result in an inconsistency between the original and derived databases. In order to control the quality of derived databases, we must assess the topological consistency. In this paper, we propose a set of rules to assess topological consistency for the collapse operation. The rules are based on a rigorous classification of topological properties in a collapse operation. By these rules, we can detect inconsistent topological changes in the generalization process and improve the quality of derived databases. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Kang, H. K., & Li, K. J. (2005). Assessing topological consistency for collapse operation in generalization of spatial databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3770 LNCS, pp. 249–258). https://doi.org/10.1007/11568346_27
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