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Proceedings Paper

Data mining of synergetic coupling for land use based on extenics
Author(s): Jiqiang Niu; Yaolin Liu; Feng Xu; Yang Zhang
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Paper Abstract

A model of synergistic coupling for land-use data mining based on extension theory is put forward in this paper, which can mine the relation of synergistic coupling for various land use activity in land use database to guide all kinds of activity. In order to mine the knowledge of synergistic coupling, some knowledge must be obtained from database of land use. Changjiang is a county in west of Hainan province, China. The data of land use is studied as a case through the changes of construction to influence other land use types. The results show that the model can be used for the mining in the land-use synergistic coupling relations. The knowledge that obtain in this case based on the model of synergistic coupling for land-use data mining is essential for decision-makers to deal with the paradoxical problem of land-use.

Paper Details

Date Published: 16 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921X (16 October 2009); doi: 10.1117/12.837518
Show Author Affiliations
Jiqiang Niu, Wuhan Univ. (China)
Xinyang Normal Univ. (China)
Yaolin Liu, Wuhan Univ. (China)
Wuhan Univ. (China)
Feng Xu, Xinyang Normal Univ. (China)
Yang Zhang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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