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