General multidimensional cloud model and its application on spatial clustering in Zhanjiang,Guangdong |
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| Authors: | Yu Deng Shenghe Liu Wenting Zhang Li Wang Jianghao Wang |
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| Institution: | [1]Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China [2]School of Resources and Environment Science, Wuhan University, Wuhan 430079, China [3]Institute of Policy and Management, CAS, Beijing 100080, China [4]Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | 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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| Keywords: | multi-dimensional cloud spatial clustering data mining membership degree Zhanjiang |
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