| 地图兴趣点分布式空间分析服务 |
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| 引用本文： | 郭庆胜,王勇,蓝振家,周贺杰,刘纪平,纪莹莹.地图兴趣点分布式空间分析服务[J].测绘科学,2018(1):89-92,100. |
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| 作者姓名： | 郭庆胜 王勇 蓝振家 周贺杰 刘纪平 纪莹莹 |
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| 作者单位： | 武汉大学资源与环境科学学院,武汉,430079
武汉大学资源与环境科学学院,武汉430079;中国测绘科学研究院,北京100830
中国测绘科学研究院,北京,100830
北京四维图新科技股份有限公司,北京,100102 |
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| 基金项目： | 国家自然科学基金项目，国家“863”计划项目 |
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| 摘 要： | 针对互联网地图上海量兴趣点的应用分析需要提高效率的问题,该文利用MongoDB设计并搭建了一个分布式集群,对这些互联网兴趣点数据进行了储存;然后通过MapReduce机制改进并实现了适用于海量兴趣点数据的空间同位模式挖掘的Apriori算法和几个常用的空间分布特征值计算方法;最后依据开放地理信息系统协会的Web处理服务规范,设计并实现了一个互联网兴趣点分布式分析服务实验系统。该文所提出的改进后的算法在数据吞吐量和计算效率上有优越性,且计算效率比传统空间分析工具和传统Apriori算法有所提高。
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| 关 键 词： | 数据库 地图兴趣点 分布式计算 空间同位模式 data base map interest points distributed computing spatial co-location pattern |
Research on distributed spatial analysis service of map interest points |
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| GUO Qingsheng,WANG Yong,LAN Zhenjia,ZHOU Hejie,LIU Jiping,JI Yingying.Research on distributed spatial analysis service of map interest points[J].Science of Surveying and Mapping,2018(1):89-92,100. |
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| Authors: | GUO Qingsheng WANG Yong LAN Zhenjia ZHOU Hejie LIU Jiping JI Yingying |
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| Abstract: | Aiming at the problem of the application analysis of the mass interest points on the internet map,this paper uses MongoDB to design and build a distributed cluster,and stores these internet interest point data.Then,through the MapReduce mechanism to improve and implement the spatial co-location pattern mining Apriori algorithm which is applicable to the mass of interest point data,and several common spatial distribution eigenvalues calculation methods.Finally,according to the web processing service specification of the open geographic information system association,an experimental system of internet interest point distributed analysis service is designed and implemented.The improved algorithm is superior in data throughput and efficiency,and the computational efficiency is better than traditional spatial analysis tools and traditional Apriori algorithm. |
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| 本文献已被 CNKI 万方数据 等数据库收录！ |
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