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Proceedings Paper

Research on determining the weights of urban land grading evaluation factors based on Spearman rank correlation analysis
Author(s): Wei Wang; Wei Qi; Nengcheng Chen; Peng Wang; Jiaying Chen
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Paper Abstract

The multi-factor integrated classification is usually used in urban land grading evaluation. The weights of urban land grading evaluation factors determine the evaluation results. Therefore, the method used to determine the weights of evaluation factors is of significant importance for the evaluation result. In this paper, a new method for determining the weights of urban land grading evaluation factors, i.e., K-means clustering and spearman rank correlation analysis, is proposed. This method is capable of decreasing human error and enhancing the effectiveness of the automatization process.

Paper Details

Date Published: 16 October 2009
PDF: 10 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921U (16 October 2009); doi: 10.1117/12.837404
Show Author Affiliations
Wei Wang, Wuhan Univ. (China)
Wei Qi, Wuhan Univ. (China)
Nengcheng Chen, Wuhan Univ. (China)
Peng Wang, Wuhan Univ. (China)
Jiaying Chen, 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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