首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:A DYNAMIC INDEX STRUCTURE FOR SPATIAL DATABASE QUERYING
  • 本地全文:下载
  • 作者:YANG Gui-jun ; ZHANG Ji-xian
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2005
  • 卷号:XXXVI-2/W25
  • 出版社:Copernicus Publications
  • 摘要:In recent years, spatial database has become an important area of people's interest and research. A fundamental issue in this area is how to store and operate spatial data efficiently. This paper describes a data structure, R-Tree, which is very easy to understand but prove to be very powerful, and the concerning operations on it. In the traditional R-Tree, it's not specified where an R-Tree index can be stored. Either the main memory or the second memory can be used to store R-Tree. In this paper, I give an advanced R-Tree dynamic index structure which shows intuitively what an R-Tree is like. Then you can efficiently complete operations on R-Tree, such as search, insert, delete, node splitting, updates and other operations
  • 关键词:Spatial Database Querying; R-Tree; Dynamic Index Structure
国家哲学社会科学文献中心版权所有