Grid-based Spatial Index Method for Location-based Nearest Neighbour Search

A. Myint, Khin Mo Mo Tun
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引用次数: 4

Abstract

Geo-spatial data becomes more and more large amount of data on the Web. On the other hand, managing massive spatial data is one of challenges for supporting spatial queries and high performance computational is also needed to support spatial queries. Thus there is needed to solve this criteria is to create a better spatial indexing method. The proposed method is to create Grid-based R-tree index structure for k nearest neighbour query and range query. R-tree is constructed with Minimum Bounding Rectangle (MBR) that contains a group of objects. The proposed system is combined R-tree with grid index that is reduced overlapping and covering area. The proposed system is to support spatial queries efficiently and also supports speed up computational performance.
基于网格空间索引的位置近邻搜索方法
网络上的地理空间数据量越来越大。另一方面,管理海量空间数据是支持空间查询的挑战之一,同时也需要高性能的计算能力来支持空间查询。因此需要解决这一标准的是创建一个更好的空间索引方法。提出的方法是为k近邻查询和范围查询创建基于网格的r树索引结构。用最小边界矩形(MBR)构造r树,其中包含一组对象。该系统将r树与网格索引相结合,减少了重叠和覆盖面积。该系统既能有效地支持空间查询,又能提高计算性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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