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A New R-tree Spatial Index Based on Space Grid Coordinate Division

机译:基于空间网格坐标划分的R树空间索引

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The intermediate nodes of traditional R-tree use the smallest bounding rectangle as the indicator, in the case of rapid increasing in the amount of data, it will generate much overlapping and coverage between MBR, the index performance and query efficiency will drop significantly. This paper will use the data structure based on grid coordinate division to indicate the intermediate nodes MBR of R-tree, a new R-tree index (GR-tree) based on grid coordinates division is proposed, grid coordinates make the location of space entities and its MBR confirmed, therefore reduce the overlap and coverage between MBR, and by using coordinate tree and circular linked list to store spatial object entities, during the process of index operation, the performance of inserting, deleting, querying algorithm is superior to that of the traditional R-tree, so it can greatly reduce the time complexity of algorithm.
机译:传统R树的中间节点使用最小的边界矩形作为指标,在数据量快速增加的情况下,MBR之间会产生很多重叠和覆盖,索引性能和查询效率会大大下降。本文将使用基于网格坐标划分的数据结构来指示R树的中间节点MBR,提出了一种基于网格坐标划分的新R树索引(GR-tree),网格坐标决定了空间实体的位置并且其MBR得以确认,因此减少了MBR之间的重叠和覆盖,并且通过使用坐标树和圆形链表存储空间对象实体,在索引操作过程中,插入,删除,查询算法的性能优于传统的R树,因此可以大大降低算法的时间复杂度。

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