Using Clustering Methods in Geospatial Information Systems
Spatial clustering is the process of grouping similar objects based on their distance,connectivity,or relative density in space,which has been employed for spatial analysis over years.To be able to integrate the proper clustering methods in geospatial information systems,two problems are discussed in the paper:how to select a proper spatial clustering methods and how to implement the clustering method in GIS.In this paper,we will give a detailed discussion on different types of clustering methods.Analysis on advantages and limitations for some classical clustering methods are given.Then we will discuss some issues of using the spatial clustering methods in the geospatial information systems.
spatial clustering clustering spatial data mining constrained spatial clustering geospatial information systems (GIS)
Xin Wang Howard Hamilton
Department of Geomatics Engineering,Schulich School of Engineering,University of Calgary,Calgary,AB Department of Computer Science,University of Regina,Regina,Canada S4S 0A2
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）