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2006•Computer Engineering and Applications JournalRequires access

Efficient Hybrid Structure of Spatial Index for GIS Databases

Chen Tian-zi

Open publisher page 1 citations

Abstract

According to the characteristics of spatial index of grids and R-tree,this paper proposes a hybrid structure of spatial index based on wide grids and clustering R-tree(HSIBGR).In HSIBGR,a rectangular region of geography is roughly partitioned to several sub-regions,which have same areas and shapes.For objects in every sub-region,we construct spatial index of R-tree.Nodes splitting of R-tree are implemented based on clustering techniques.The authors analyze performances of HSIBGR though theoretical methods and evaluate those by experimental results.The results show that HSIBGR can effectively reduce overheads of storages and improve efficiency of searching.

About this research paper

What this paper is about

According to the characteristics of spatial index of grids and R-tree,this paper proposes a hybrid structure of spatial index based on wide grids and clustering R-tree(HSIBGR).In HSIBGR,a rectangular region of geography is roughly partitioned to several sub-regions,which have same areas and shapes.For objects in every sub-region,we construct spatial index of R-tree.Nodes splitting of R-tree are implemented based on clustering techniques.The authors analyze performances of HSIBGR though theoretical methods and evaluate those by experimental results.The results show that HSIBGR can effectively reduce overheads of storages and improve efficiency of searching.

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Available abstract

According to the characteristics of spatial index of grids and R-tree,this paper proposes a hybrid structure of spatial index based on wide grids and clustering R-tree(HSIBGR).In HSIBGR,a rectangular region of geography is roughly partitioned to several sub-regions,which have same areas and shapes.For objects in every sub-region,we construct spatial index of R-tree.Nodes splitting of R-tree are implemented based on clustering techniques.The authors analyze performances of HSIBGR though theoretical methods and evaluate those by experimental results.The results show that HSIBGR can effectively reduce overheads of storages and improve efficiency of searching.

Key concepts: Spatial database, Computer science, R-tree, Index (typography), Data mining, Cluster analysis, Spatial analysis, Tree (set theory)

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