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	Distributed Storage and Index of Vector Spatial Data Based on HBase
	Wang, Lin ; Chen, Bin ; Liu, Yuehu
	2013
关键词	Hadoop HBase MapReduce Vector Spatial Data R-tree MAPREDUCE
英文摘要	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.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000339361500034&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Information Systems; Engineering, Electrical & Electronic; Geosciences, Multidisciplinary; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/Geoinformatics.2013.6626052
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/311839]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Wang, Lin,Chen, Bin,Liu, Yuehu. Distributed Storage and Index of Vector Spatial Data Based on HBase. 2013-01-01.

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