16 October 2009 Research on determining the weights of urban land grading evaluation factors based on Spearman rank correlation analysis
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Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74921U (2009); doi: 10.1117/12.837404
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China
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.
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Wei Wang, Wei Qi, Nengcheng Chen, Peng Wang, Jiaying Chen, "Research on determining the weights of urban land grading evaluation factors based on Spearman rank correlation analysis", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921U (16 October 2009); doi: 10.1117/12.837404; https://doi.org/10.1117/12.837404
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