DocumentCode :
1933224
Title :
A New Approach to Creating Spatial Index with R-Tree
Author :
Zhang, Ze-bao ; Zhang, XJian-Pei ; Yang, Jing ; Yang, Yue
Author_Institution :
Harbin Eng. Univ., Harbin
Volume :
5
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2645
Lastpage :
2648
Abstract :
Aimed at the traditional method expends time and overlapping area is big, this paper proposes a new creation method with R-tree. Through ranking the coordinate of spatial object´s center point on 2D, a number of objects, which have minimal span, are picked up to establish the R-tree. The static batch load method optimizes spatial index structure, which can improve the spatial utilization and reduce the overlapping area. Experimental results show that this method can achieve a higher spatial utilization and reduce the time consumed, then increase the index capability. Therefore, the proposed method is correct and effective.
Keywords :
spatial data structures; tree searching; visual databases; R-tree; spatial index structure; static batch load method; Computer science; Costs; Cybernetics; Hilbert space; Machine learning; Optimization methods; Spatial indexes; Batch load; R-tree index; SDBMS; Spatial index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370595
Filename :
4370595
Link To Document :
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