一种基于Hadoop的高效空间拓扑关系判定方法

Hadoop-based effective determination method for spatial topological relations

考虑到互联网数据的海量规模,采用传统方法的空间拓扑关系判定已远超出当前系统的处理能力。以分层法和二分查找法为基础提出了一种判定海量地理坐标与给定区域空间拓扑关系的高效判定算法,并结合Hadoop/Hive平台对算法进行优化。实验结果表明该方法可高效实现对海量空间数据的拓扑关系判定,并在算法精度上具有与ESRI传统算法相媲美的结果。

Considering the massive size of Internet data,traditional processing methods of which has gone far beyond the capabilities of current system. Based on the hierarchical method and binary search method,this paper designed an effective determination algorithm of the spatial topological relations between large sets of geographic coordinate and given regions,and optimized it based on Hadoop / Hive platform. The experimental results show that the method can determine the topological relations of massive spatial data effectively,and it has the equal accuracy comparing to ESRI traditional algorithm.