Extendible hashing—a fast access method for dynamic files
ACM Transactions on Database Systems (TODS)
Optimal Expected-Time Algorithms for Closest Point Problems
ACM Transactions on Mathematical Software (TOMS)
ACM Computing Surveys (CSUR)
Approximation of polygonal maps by cellular maps
Communications of the ACM
Interactive Computer Graphics: Data Structures, Algorithms, Languages
Interactive Computer Graphics: Data Structures, Algorithms, Languages
Location of a point in a planar subdivision and its applications
STOC '76 Proceedings of the eighth annual ACM symposium on Theory of computing
Database Support for Knowledge-Based Image Evaluation
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Towards a Spatial Query Language: User Interface Considerations
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Review: 3D geo-database research: Retrospective and future directions
Computers & Geosciences
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We present a file organization scheme providing fast access to spatially referenced objects in a data base. The method utilizes a geometric file structure based on extendible cells together with a so-called topological representation of areas. It is shown to have O(1) expected access cost for the "point-in-polygonnetwork-query" in typical situations. The method can be used as a spatial directory to a data base. Performance indicators are reported.