Design and Implementation of QR+Tree Index Algorithms
In this paper, a solution of QR+Tree spatial index structure and algorithms is proposed. Our aim is to meet the requirements of large-scale GIS database application and overcome the insufficiency of existing spatial index technology. Compared to other spatial index, this solution is more efficient. In this paper, we analyze about the performances of QR+Tree in insertion, deletion, and especially searching, and the experiments show that this hybrid index solves the efficiency problem of the traditional space index availably.
RTree QR+Tree Spatial Index
Mao Huaqing Bian Fuling
LIESMARS of Wuhan University, Wuhan, 430079, China
国际会议
上海
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）