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Applications of Spatial Index Optimization in PMR Quad-trees

机译:空间索引优化在PMR四叉树中的应用

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摘要

In order to improve the efnciency of construction of spatial index structures,In this paper,some improvements had been made on the algorithm of bulk-loading PMR quadtrees,which are two complementary techniques:an improved insertion algorithm and a bulk-loading method.Namely,switching the experiment data to sample data.constructing spatial index respectively with dynamic inserting and bulk loading method,which takinR difierent split threshold and maximal depth as independent variable.the results of experiments show that improved algorithms exploit fast spatial index construction as well as yield significant performance improvement for bulk-loading PMR quadtree,the algorithm can be extended to handle other spatial data structures based Oil regular partition.
机译:为了提高空间索引结构的构建效率,本文对PMR四叉树的批量加载算法进行了一些改进,这是两种补充技术:改进的插入算法和批量加载方法。分别用动态插入和批量加载方法分别构建空间索引,以不同的阈值和最大深度作为自变量。实验结果表明,改进的算法利用了快速的空间索引构建和收益率。对于批量加载PMR四叉树,性能有了显着提高,该算法可以扩展为处理基于Oil常规分区的其他空间数据结构。

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