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作 者:毛克彪[1] 覃志豪[1] 李海涛[1] 周若鸿[2]
机构地区:[1]南京大学国际地球系统科学研究所 [2]南京大学计算机科学系,南京210093
出 处:《遥感信息》2002年第4期19-26,共8页Remote Sensing Information
摘 要:分析了空间数据仓库的特点和体系结构 ,在空间数据仓库的基础上提出了一种空间数据挖掘的模型结构 ,介绍了一些常用空间数据挖掘算法 。Along with the development of the GIS database, the acquired data are large and come from different sources.So the question that data are not compatible each other must be resolved.Data warehouse has some different features as compare with the database,such as integrated,subject oriented,time and spatial variant.The emergence of spatial data warehouse extends the scope of the application of GIS.The technology of data mining was put forward in 1980's,and has used in many fields,such as finance,insurance,retail,medical and justice,etc.Data mining is the non trivial process of identifying valid,novel,potentially useful,ultimately understandable patterns from huge volume of data.The spatial data mining is developed on the base of it.In a sense,spatial data mining resolves the problem of abundance data that human brain cannot be competent with.Therefore the technology of data mining is introduced into this field.This paper provides the background of spatial data mining on the base of spatial data warehouse,the characteristic and structure of the spatial data warehouse,then introduce the general process of spatial data mining,common algorithms and prospect.
关 键 词:空间数据仓库 空间数据挖掘 RS GIS GPS 地理信息系统
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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