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基于ORDBMS的GIS空间数据管理模式及其应用
引用本文:张茂震,宋铁英,唐小明,刘鹏举.基于ORDBMS的GIS空间数据管理模式及其应用[J].地球信息科学,2004,6(4):110-116.
作者姓名:张茂震  宋铁英  唐小明  刘鹏举
作者单位:1. 北京林业大学信息学院, 北京 100083; 2. 中国林业科学研究院资源信息所, 北京 100083
摘    要:从GIS系统中矢量数据与栅格数据优势互补、管理分离这一实际出发,分析了对象关系数据库(ORDB)的特点和适用性,提出了将矢量数据和栅格数据纳入对象关系数据库管理系统(ORDBMS)统一管理的基本模型和具体实现方法,并以湖南省基础地理数据为例,在国产地理信息系统软件ViewGIS中实现。

关 键 词:地理信息系统  关系数据库  对象数据库  对象关系数据库  
收稿时间:2003-11-16;
修稿时间:2003年11月16

An ORDBMS Based GIS Data Management Model and Its Realization
ZHANG Maozhen,SONG Tieying,TANG Xiaoming,LIU Pengju.An ORDBMS Based GIS Data Management Model and Its Realization[J].Geo-information Science,2004,6(4):110-116.
Authors:ZHANG Maozhen  SONG Tieying  TANG Xiaoming  LIU Pengju
Institution:1. Beijing Forestry University, Beijing 100083, China; 2. Chinese Academy of Forestry Science, Beijing 100083, China
Abstract:Efficient spatial data management is a key issue of GIS technology. Object-relational database, because of its advantage in data sharing, security and transferring in network, is recognized as an effective tool for GIS data management, and many studies on this area have shown great success. But in actual application with large quantity of data, some difficulties still exist. This paper, based on the analysis of the features of Raster and vector data and the applicability of Object-Relational database to the management of GIS data, presented a practical integration model for the two types of data in GIS. This integrated spatial data model was applied to the GIS software-ViewGIS, which was successfully used in building the provincial forestry GIS of Hunan province in 2003.The ORDBMS based GIS spatial data model, which uses Oracle Spatial mechanism for vector data and RDB LOB mechanism for raster data respectively, realized the goal of managing raster and vector data in the same database. This can not only greatly benefit end users with remote data access, data manipulation and other mechanisms of the database, but also avoid the barrier of unopened data structure in ArcSDE and has higher efficiency.
Keywords:GIS  RDB  ODB  ORDB
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