Computation Method for Spatial OLAP
空间OLAP的计算方法

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.