广义多维云模型及在空间聚类中的应用:以广东湛江市为例(英文)

被引：4

作者：

邓羽 ^{[1
,2
]}

刘盛和 ^{[1
]}

张文婷 ^{[3
]}

王丽 ^{[4
,2
]}

王江浩 ^{[1
,2
]}

机构：

[1] Institute of Geographic Sciences and Natural Resources Research,CAS

[2] Graduate University of Chinese Academy of Sciences

[3] School of Resources and Environment Science,Wuhan University

[4] Institute of Policy and Management,CAS

来源：

JournalofGeographicalSciences | 2010年 / 20卷 / 05期

关键词：

multi-dimensional cloud; spatial clustering; data mining; membership degree; Zhanjiang;

D O I：

暂无

中图分类号：

P90 [一般理论与方法];

学科分类号：

0705 ; 070501 ;

摘要：

Traditional spatial clustering methods have the disadvantage of "hardware division",and can not describe the physical characteristics of spatial entity effectively.In view of the above,this paper sets forth a general multi-dimensional cloud model,which describes the characteristics of spatial objects more reasonably according to the idea of non-homogeneous and non-symmetry.Based on infrastructures' classification and demarcation in Zhanjiang,a detailed interpretation of clustering results is made from the spatial distribution of membership degree of clustering,the comparative study of Fuzzy C-means and a coupled analysis of residential land prices.General multi-dimensional cloud model reflects the integrated characteristics of spatial objects better,reveals the spatial distribution of potential information,and realizes spatial division more accurately in complex circumstances.However,due to the complexity of spatial interactions between geographical entities,the generation of cloud model is a specific and challenging task.

引用

页码：787 / 798

页数：12

共 17 条

[1] 基于GIS的水环境价值模糊综合评价研究 [J].