On the basis of this model , the author put forward a R-tree based Composite Spatiotemporal Index (CST-TREE) and described its structure and mechanism.

并在此模型上提出了一个基于R树的复合时空索引（CST-TREE）机制，定义了节点结构，并分析、描述了此索引的结构及原理。

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According to the characteristics of spatial index of grids and R-tree, a hybrid structure of spatial multilevel index is presented based on grid and R-tree.

结合网格索引和R树索引的特点，提出了一种基于网格与R树的多级混合索引。

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QR-tree, a spatial index structure based on R-tree and a kind of space partition method using Quad-tree, is proposed. Its data structure and algorithms are also stated.

提出了一种基于R-树与“四叉树”空间层次划分的空间索引结构QR-树，给出了其数据结构和算法描述。

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