期刊文献+

基于Hadoop的矢量空间数据库技术 被引量:3

Vector Spatial Database Based on Hadoop
下载PDF
导出
摘要 大型GIS系统中要存储海量的空间数据,需要面对大量用户高并发访问提供高效的服务,而传统的空间数据库设计方案难以满足需求。针对大型GIS系统中海量矢量数据存储组织,提出一种基于Hadoop的存储方案,并通过实验验证该方案的有效性。 Large GIS system stores huge quantity of vector data and needs to supply efficient service for multi-user concurrent ac- cess. Traditional design of spatial database cannot meet the requirement. To solve the problem of massive vector data storage in Large-GIS, we propose a new Hadoop-based method in this paper and demonstrate its effectiveness through an extensive experi- mental evaluation.
出处 《计算机与现代化》 2014年第2期63-68,72,共7页 Computer and Modernization
关键词 海量数据 矢量 空间数据库 HADOOP massive data vector spatial database Hadoop
  • 相关文献

参考文献4

二级参考文献17

  • 1胡鹏,黄伟.地学数据库的数学基础[J].武汉测绘科技大学学报,1989,14(3):77-86. 被引量:6
  • 2Erich Gamma, Richard Helm, Ralph Johnson et al.Design Patterns : Elements of Reusable Object-Oriented Software[M].Massachusetts: Addison-Wesley Publishing Company Inc, 1995.
  • 3Frank Buschmann,Regine Meunier,Hans Rohnert et al.Pattem-Oriented Software Architecture:A system of Pattems[M].New York:John Wiley & Sons Ltd,1996.
  • 4Glenn Krasner,Stephen Pope.A Cookbook for Using the Modelviewcontroller User Interface Paradigm in Smalltalk-80[J].Joumal of Object-Oriented Programming, 1988 ; 1 (3).
  • 5承继成等.数字地球导论.北京:科学出版社,1999
  • 6Goodchild M.Geographical information science,International Journal of Geographic Information systems,1992,6(1):31~45
  • 7Openshaw,S..A geographical solution to scale and aggregation problems in region-building,partitioning and spatial modeling.Transactions of the Institute of British Geographers,1997,2 (NS):459~472
  • 8GoodchildM.Future directions for geographic information science;第88次香山科学会议[J].地球信息科学,1997,:86-94.
  • 9Openshaw S..Two exploratory space-time-attribute pattern analyzers relevant to GIS,Spatial analysis and GIS,Taylor & Francis,1994,83~104
  • 10中国科学家预测21世纪.1999,http://bbs.mit.edu

共引文献74

同被引文献15

引证文献3

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部