Deng Yu1; Liu Shenghe1; Zhang Wenting2; Wang Li3; Wang Jianghao1
Source Publicationjournalofgeographicalsciences
AbstractTraditional 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.
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Deng Yu,Liu Shenghe,Zhang Wenting,et al. generalmultidimensionalcloudmodelanditsapplicationonspatialclusteringinzhanjiangguangdong[J]. journalofgeographicalsciences,2010,20(5):12,787.
APA Deng Yu,Liu Shenghe,Zhang Wenting,Wang Li,&Wang Jianghao.(2010).generalmultidimensionalcloudmodelanditsapplicationonspatialclusteringinzhanjiangguangdong.journalofgeographicalsciences,20(5),12,787.
MLA Deng Yu,et al."generalmultidimensionalcloudmodelanditsapplicationonspatialclusteringinzhanjiangguangdong".journalofgeographicalsciences 20.5(2010):12,787.
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