基于SQL Server Analysis Service(SSAS)的土地地类关系空间数据挖掘  

Spatial Data Mining for the Land Class Relationships Based on SQL Server Analysis Service

作　　者：任沂军 刘玲玲[2] 邹艳红[2] 陈佳音[2] 

机构地区：[1]江门市勘测院,广东江门529000 [2]中南大学地球科学与信息物理学院,湖南长沙410083

出　　处：《城市勘测》2014年第6期35-39,共5页Urban Geotechnical Investigation & Surveying

基　　金：国家自然科学基金资助项目(41102204)

摘　　要：基于SQL Server Analysis Services(简称SSAS)提供的Microsoft关联规则挖掘算法和事务数据挖掘功能,通过利用Arc GIS软件、空间数据库引擎Arc SDE和数据库SQL Server软件,提出了一种新的土地地类关系挖掘实现方案。首先结合空间数据挖掘(Spatial Data Mining,SDM)相关技术方法,以土地利用数据库为基础,实现空间数据提取;然后通过空间关联操作将空间信息转化为事务,最后在SSAS中创建多维数据集,完成相关数据挖掘任务。基于某市实例土地利用数据库,采用该方法探测相邻地类间的隐含关系,通过建立相邻地类图斑空间关联规则挖掘模型,设置不同的参数,得到了一系列比较实用合理的关联规则,通过实践证明了这种方案的有效性。Based on Mining algorithm of Microsoft associated rule and transaction data mining functions provided by SQL Server Analysis Services（ SSAS）,a new implementation scheme for the land class relationships mining is proposed by using SQL Server,Arc GIS software,spatial data engine of Arc SDE. Firstly,Combined with related Spatial Data Mining（ SDM） technologies,spatial data was extracted on the basis of the land use database. Secondly,the spatial data was transformed into transaction data by spatial associated rule. Finally,multi- dimension data set was constructed in SSAS and the relevant spatial data mining tasks were implemented. As a case study,the implement scheme was applied to discover the implied relationships between the adjacent land classes for the land use database of a county. Through training models and setting different parameters,a series of practical and reasonable associated rules were obtained. It shows that the scheme is feasible and efficient in practice.

关 键 词：土地地类关系 SQL Server ANALYSIS Service(SSAS) 空间数据挖掘 关联规则算法 

分 类 号：P208.1[天文地球—地图制图学与地理信息工程]