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Titlebook: Advances in Spatial Databases; 4th International Sy Max J. Egenhofer,John R. Herring Conference proceedings 1995 Springer-Verlag Berlin Hei

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楼主: fundoplication
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Implementation of the ROSE algebra: Efficient algorithms for realm-based spatial data types,ce requirements. Due to the realm properties, these algorithms are relatively simple, efficient, and numerically completely robust. All data structures and algorithms have indeed been implemented in the .; the Modula-2 source code is freely available from the authors for study or use.
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Lossless representation of topological spatial data,lines between these points, and areas formed by these lines. The data structure has the distinctive feature that it is geared toward supporting queries involving topological properties of the database only: two databases that are topologically equivalent have the same representation. Moreover, no in
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On the desirability and limitations of linear spatial database models, logic over the real numbers with addition. We first argue the naturalness of our model and propose it as a general framework to study and compare linear spatial database models. However, we also establish that no reasonable safe extension of our data manipulation language can be complete for the li
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,The quad view data structure — a representation for planar subdivisions,logy-oriented approaches represent the relations existing between the vertices, edges and faces of a planar subdivision. We extend this standard approach by decomposing the faces into trapezoidal views. By defining a neighborhood relation among the views we obtain the view graph which forms the basi
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Knowledge discovery in large spatial databases: Focusing techniques for efficient class identificatallography or other scientific equipment. Therefore, automated knowledge discovery becomes more and more important in spatial databases. So far, most of the methods for knowledge discovery in databases (KDD) have been based on relational database systems. In this paper, we address the task of class
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Optimal redundancy in spatial database systems,rectangles is the . method. Since each of these rectangles eventually corresponds to an entry in a spatial index, the object may be referenced several times. This . effect is controllable. In this paper, we present an empirically derived formula to assess the expected redundancy for the z-ordering a
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