The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Building Geo-Scientifc Applications on Top of GeoToolKit: a Case Study of Data Integration
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
A Topological Data Model for Spatial Databases
SSD '89 Proceedings of the First Symposium on Design and Implementation of Large Spatial Databases
From GeoStore to GeoToolKit: The Second Step
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Advanced Engineering Informatics
Topological analysis of 3D building models using a spatial query language
Advanced Engineering Informatics
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The data handling component of today's geographical information systems still only considers the management of two-dimensional data. However, in the geosciences as well as in commercial planning fields there is an increasing need to manage large amounts of 2.5D- and 3D-data. On the one hand, mobile telephony providers require digital landform data to maintain overall communication service networks. On the other hand, geoscientists and engineers need 3D surface and solid data to research dynamic processes. We are presenting new methods for the efficient spatial access and the phiysical clustering of 3D geometries according to their topology. These methods enable acceptable performance for users, not only during the filter step of spatial queries but also during the refinement on exact geometries. The methods are evaluated and embedded into GeoToolKit, our database kernel system for 3D application.