期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：Spatial data fragmentation classifies in zonal fragmentation and layer fragmentation in distributed Spatial database. Because of thegeospatial continuity and strong correlation between spatial data, cross-border query becomes an inherent problem in distributed spatialquery based on zonal fragmentation, and cross-border fragment join optimization is a core issue. Firstly, this paper discussed the generalmean of grouping of the fragment joins, and they are divided into to groups, NCBJs and CBJs; Secondly the spatial topologicalpredicates further the spatial joins are classified; then the optimization of 4 class of CBJs are discussed in detail, and the removing,filtering, transforming rules are proposed, further the processing algorithms. Tests are designed to examine the proposed methods, andthe results show that the proposed methods improve the efficiency of cross-border join greatly
