摘要
随着现代科学技术的迅速发展,复杂多变的空间数据日益膨胀,远远超出人们的解译能力,迫切需要数据挖掘和知识发现为其提供指导。文章从空间数据挖掘的基本概念出发,详细阐述了空间数据的特点、空间邻接关系及其相关操作,给出了几种典型的空间数据挖掘方法,并对空间数据挖掘的进一步发展做了展望。
With the application and development of modern science and technique,the tremendous amounts of spatial and non-spatial data have been stored in large Spatial Database（SDB）.These are far beyond the human ability to interpret and analysis of them,which is urgently in need of Spatial Data Mining（SDM） to provide knowledge.From the basic conceptions of SDM,this paper introduces characteristics of spatial data,spatial neighborhood relation and it＇s operation.It also discusses typical Spatial Data Mining methods and future research directions.
出处
《测绘与空间地理信息》
2007年第5期81-84,共4页
Geomatics & Spatial Information Technology
关键词
空间数据挖掘
地理信息系统
邻接关系
Spatial Data Mining（SDM）
Geography Information System（GIS）
neighborhood relation
