Symbolic Intersect Detection: A Method for Improving Spatial Intersect Joins

Due to the increasing popularity of spatial databases, researchers have focused their efforts on improving the query processing performance of the most expensive spatial database operation: the spatial join. While most previous work focused on optimizing the ®lter step, it has been discovered recently that, for typical GIS data sets, the re®nement step of spatial join processing actually requires a longer processing time than the ®lter step. Furthermore, two-thirds of the time in processing the re®nement step is devoted to the computation of polygon intersections. To address this issue, we therefore introduce a novel approach to spatial join optimization that drastically reduces the time of the re®nement step. We propose a new approach called Symbolic Intersect Detection (SID) for early detection of true hits. Our SID optimization eliminates most of the expensive polygon intersect computations required by a spatial join by exploiting the symbolic topological relationships between...

• Type: Journal
• Year: 1998
• Where: GEOINFORMATICA
• Authors: Yun-Wu Huang, Matthew C. Jones, Elke A. Rundensteiner
• Keywords: GEOINFORMATICA 1998, Re®nement Step, Spatial, Spatial Join