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1. Design and Implementation of the Spatial Index Structure QER+-tree | |||
Xiaoli Qi,Chen Xiaoyun ,Ma Jun | |||
Computer Science and Technology 18 August 2008 | |||
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Abstract:QER+-tree, a new spatial index structure based on quad-tree, R-tree and R+-tree, is proposed. Its data structure, operation algorithms and experimental results are also stated. The main thought of QER+-tree is partitioning the whole index space to multi-levels using quad-tree. Then R-tree or R+-tree is used for indexing the subspaces. This way not only restrains the query space, but also decreases the overlap of index space. In addition, QER+-tree uses the reinserting mechanism while splitting nodes. It can better the trees’ structure. So QER+-tree has more superiority than R-tree and R+-tree. | |||
TO cite this article:Xiaoli Qi,Chen Xiaoyun ,Ma Jun . Design and Implementation of the Spatial Index Structure QER+-tree[OL].[18 August 2008] http://en.paper.edu.cn/en_releasepaper/content/23410 |
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