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A brand-new node-choosing algorithm in R-tree spatial index

机译:R树空间索引中的全新节点选择算法

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Spatial index is one of the key techniques in the field of spatial database This paper presents a brand-new node-choosing algorithm in the insertion procedure of R-tree spatial index, which is very different from the current algorithms, From the beginning of the leaf-node layer, firstly from bottom to top then inversely, the proper leaf-node is chosen, and this scheme can solve the problems caused by node overlapping Meantime, the concept of RtreeCauchy is firstly put forward, and the sum of overlay, overlap and RtreeCauchy is introduced as selection criterion to guarantee that shape of node is average and avoid generating long-strip-shape nodes. A comparative performance analysis on the current and improved methods shows that not only the query performance but also the generation performance of the improved method is higher than the current methods such as R*-tree.
机译:空间索引是空间数据库领域的关键技术之一,本文介绍了R树空间索引的插入过程中的全新节点选择算法,这与当前算法非常不同,从开始时叶节点层,首先从底部到顶部那么逆,选择了适当的叶节点,并且该方案可以解决由节点重叠引起的问题,同时提出了Rtreecauchy的概念,以及叠加的总和,重叠并将Rtreecauchy作为选择标准引入,以保证节点的形状平均并且避免生成长条形节点。对当前和改进方法的比较性能分析表明,不仅查询性能而且改进方法的生成性能高于当前方法,如R * -tree。

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