Title :
A new method about spatial data query based on the R*Q-tree
Author :
Li, Guobin ; Tang, Jine
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Based on the conventional R*Q-tree study, a novel R*Q-tree spatial database indexing technology is designed in order to solve the shortcoming of the conventional R*Q-tree to insert data into which quard. The novel R*Q-tree is created by adding the parent node VR*-tree and HR*-tree, making the data set of R*Q-tree near by partition forms of narrow-band line shape, the overlapping between the sub-tree of the R*-tree is greatly reduced and the scope of the entire spatial data is divided into narrow-band. There isn´t any repeat between the R*-tree and the sub-regions. The experiment shows that the query efficiency of the improved R*Q-tree is significantly enhanced.
Keywords :
database indexing; query processing; tree data structures; visual databases; HR*-tree; R*Q-tree spatial database indexing technology; VR*-tree; spatial data query; Indexing; Presses; Search problems; Shape; Space technology; Spatial databases; R*-tree; R*Q-tree; R-tree; Spatial Database; Spatial Database Index; The novel R*Q-tree;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5582974