R-树聚集在空间数据仓库中的应用  

The application of aggregated R-tree in the spatial data warehouse

作　　者：汪金[1] 钟宣武[1] 

机构地区：[1]云南大学计算机科学与工程系,云南昆明650091

出　　处：《云南大学学报（自然科学版）》2003年第4期328-331,334,共5页Journal of Yunnan University(Natural Sciences Edition)

摘　　要：空间数据库存储空间对象的相关信息,在很多实际应用中需要汇总空间数据,但这种汇总非常耗费时间而且计算代价很高.受非空间数据仓库的启发,可以建立空间数据仓库来加速空间OLAP操作.考虑星型模式且着重于空间维的概念分层,这种分层主要根据空间R-树索引来建立.提出了一个空间查询算法,并考虑了数据更新.Spatial databases store information about spatial objects.In many applications summarized data is required, however this summary is very time consume and expensive.Driven by the non-spatial database,spatial data warehouses can be constructed to accelerate spatial OALP operations.It is considered the starschema and focus on the hierarchies of spatial dimensions,which based on the spatial R-tree index.It is also proposed a spatial query algorithm and considerd the updates of the data.

关 键 词：空间数据库 存储空间 汇总 计算代价 非空间数据仓库 空间OLAP操作 星型模式 R-树 空间查询算法 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论]