DocumentCode
3444757
Title
Distributed storage and index of vector spatial data based on HBase
Author
Lin Wang ; Bin Chen ; Yuehu Liu
Author_Institution
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
fYear
2013
fDate
20-22 June 2013
Firstpage
1
Lastpage
5
Abstract
In order to deal with the storage and query problems of massive vector spatial data, we design a vector spatial data model based on HBase. Then, a parallel method of building Hilbert R-tree index using MapReduce and packed Hilbert R-tree algorithm is proposed. In the end, the proposed vector spatial data model and the method of building Hilbert R-tree index in parallel are proven to be effective and efficient by experiments.
Keywords
Hilbert spaces; data handling; distributed processing; geographic information systems; query processing; GIS; HBase; Hilbert R-tree algorithm; Hilbert R-tree index; MapReduce; distributed storage; geographic information systems; parallel method; query problems; storage problems; vector spatial data index; Buildings; Data models; Distributed databases; Indexes; Spatial databases; Time-frequency analysis; Vectors; HBase; Hadoop; MapReduce; R-tree; Vector Spatial Data;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location
Kaifeng
ISSN
2161-024X
Type
conf
DOI
10.1109/Geoinformatics.2013.6626052
Filename
6626052
Link To Document