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Proceedings Paper

Indicator mining model for spatial multi-scale degraded land evaluation
Author(s): Dianfeng Liu; Yaolin Liu; Yin Xia; Xiaofeng Hong; Zhongjun Zhao
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Paper Abstract

At present, no feasible and effective methods meet the requirements of constructing a comprehensive and representative indicator system for degraded land evaluation, which orients spatial multi-scale and diversity of evaluation objects as well as integrates experts' judgments and objective information. This paper, tying to solve the problem, firstly proposes three propositions on evaluation indicator knowledge base (EIKB), universe evaluation indicator set (UEIS), evaluation indicator subset (EIS) and Mapping Rule of EIS (MREIS), and then constructs an heuristic indicator mining model (HIMM) based on above theories, variable precision rough set and information entropy. Finally, we applied HIMM to practical degraded land evaluation and examined the effectiveness of HIMM. The result shows that HIMM is applicable, especially in the aspect of solving the comprehensive and representative problem in the process of indicator system construction.

Paper Details

Date Published: 15 October 2009
PDF: 10 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921F (15 October 2009); doi: 10.1117/12.838297
Show Author Affiliations
Dianfeng Liu, Wuhan Univ. (China)
Yaolin Liu, Wuhan Univ. (China)
Yin Xia, Wuhan Univ. (China)
Xiaofeng Hong, Wuhan Univ. (China)
Zhongjun Zhao, 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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