空间数据引擎关键技术与应用分析  

Analysis and Discussion on Spatial Data Engine Technologies

作　　者：张明波[1,2] 申排伟[1] 陆锋[1] 程昌秀[1] 

机构地区：[1]中国科学院资源与环境信息系统国家重点实验室 [2]山东理工大学建工学院,淄博255049

出　　处：《地球信息科学》2004年第4期80-84,共5页Geo-information Science

基　　金：863-13主题项目(2003AA135070);国家自然科学基金项目(40201043)

摘　　要：地理特征相关信息的一体化存储与访问是GIS软件平台研发的关键技术。在扩展关系数据模型的支持下,利用成熟的商用扩展关系型数据库管理系统存储和管理海量空间数据,是发展大型GIS平台空间数据库管理系统行之有效的技术方法。本文对几种典型的空间数据库管理平台ArcSDE、OracleSpatial、InformixSpatialDataBlade、DB2SpatialExtender和MySQLSpatialExtensions从存储模型、进程管理方案、空间查询和索引以及数据缓存技术等方面进行了分析。Integrated storing and accessing geographical features related information is one of the most important technologies for GIS application developments. It has been a consensus of opinion in the GIS society that storing and managing mass spatial data with current business relational database management systems under the support of extended relational models is an efficient and effective technology for developing mass data and network oriented spatial database management systems. In this paper, the authors analyzed and discussed some typical spatial database management platforms including ArcSDE, Oracle Spatial, Informix Spatial DataBlade, DB2 Spatial Extender and MySQL Spatial Extensions from the view of storing models, process management schema, spatial querying and indexing, and data cache approaches. It is argued that current business spatial data engines or extension technologies still deserve much more research and improvements, especially for topology representation within relational database management systems and application schema, adaptive spatial indexing and optimization methods, and user defined complex object representation, sharing and inter-operability.

关 键 词：空间数据库 空间数据引擎 ARCSDE Oracle INFORMIX DB2 MYSQL 

分 类 号：P208[天文地球—地图制图学与地理信息工程]