空间OLAP的计算方法  

Computation Method for Spatial OLAP

作　　者：樊博[1] 

机构地区：[1]上海交通大学国际与公共事务学院,上海200030

出　　处：《系统工程理论与实践》2007年第11期87-96,共10页Systems Engineering-Theory & Practice

基　　金：国家社会科学基金(07CTQ009);中国博士后基金(20060390439)

摘　　要：研究基于空间数据仓库的一种决策分析工具——空间在线分析处理(SOLAP)的计算方法.在不同的系统存储容量和空间数据仓库容量的对比下,提出了有针对性的空间OLAP计算策略——双向空间Greedy算法和修正式遗传算法相结合的方法.同时给出了仿真模拟实验.This article explores the implemental technology of the decision analytical tool named spatial on-line analytical processing（ SOLAP）, we mainly solve the problem of the slow response during the operation of SOLAP by improving the existing methods of materialization view selection. Two new methods named double spatial greedy algorithm and revised genetic algorithm are proposed to meet the need of spatial data cube computation according to the different storage capacity of the system. Experiment proves that our method is superior to the existing computation algorithm of spatial data cube. It enriches the computation methods of spatial OLAP, enhances the quality of materialization view selection and finally shortens the response time of spatial OLAP operation.

关 键 词：空间数据立方体 物化视图选择 空间OLAP 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] C931.9[自动化与计算机技术—控制科学与工程]