General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong
查看参考文献29篇
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文摘
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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. |
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来源
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Journal of Geographical Sciences
,2010,20(5):787-798 【核心库】
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DOI
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10.1007/s11442-010-0811-8
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关键词
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multi-dimensional cloud
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spatial clustering
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data mining
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membership degree
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Zhanjiang
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地址
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1.
Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101
2.
School of Resources and Environment Science, Wuhan University, Wuhan, 430079
3.
Institute of Policy and Management, CAS, Beijing, 100080
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1009-637X |
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学科
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自然地理学 |
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基金
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国家自然科学基金
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中国科学院知识创新工程项目
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Special Grant for Postgraduates' Scientific Innovation and Social Practice in 2008
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文献收藏号
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CSCD:3922065
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