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《Science of Surveying and Mapping》 2010-01
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Studies on R-tree spatial index for 3D GIS

LIU Yan①,MA Jing-song②,ZHANG Yong-yu②(①Dept.of City and Resources,Xizang University,Lahsa 850000,China;②Dept.of Geographical Information Science,School of Geographic and Oceanographic Sciences,Nanjing University,Jiangsu Nanjing 210093,China)  
The establishment of high-performance 3D spatial data index is one of the key technologies in 3D GIS.And R-tree index is one of the most widely used methods in recent years.This paper employs the 3D coverage volume and 3D overlap volume as the R-tree insertion criteria and includes the k-means clustering method to improve the node splitting algorithm.In addition,the larger features such as roads,rivers in three-dimensional GIS can be cut out.So that the overlap of R-tree sibling nodes is minimized drastically,clustering of objects in space becomes more reasonable and the query speed of 3D GIS database is increased effectively.
【Fund】: 国家基础科学人才培养基金(0630535)
【CateGory Index】: TP391.41
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Chinese Journal Full-text Database 5 Hits
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【Secondary Citations】
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