吴景社, 康绍忠, 王景雷, 黄修桥, 宋毅夫. 基于主成分分析和模糊聚类方法的全国节水灌溉分区研究[J]. 农业工程学报, 2004, 20(4): 64-68.
    引用本文: 吴景社, 康绍忠, 王景雷, 黄修桥, 宋毅夫. 基于主成分分析和模糊聚类方法的全国节水灌溉分区研究[J]. 农业工程学报, 2004, 20(4): 64-68.
    Wu Jingshe, Kang Shaozhong, Wang Jinglei, Huang Xiuqiao, Song Yifu. Zoning of water-saving irrigation in China using principal components analysis and fuzzy-C-means[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(4): 64-68.
    Citation: Wu Jingshe, Kang Shaozhong, Wang Jinglei, Huang Xiuqiao, Song Yifu. Zoning of water-saving irrigation in China using principal components analysis and fuzzy-C-means[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(4): 64-68.

    基于主成分分析和模糊聚类方法的全国节水灌溉分区研究

    Zoning of water-saving irrigation in China using principal components analysis and fuzzy-C-means

    • 摘要: 针对节水灌溉特点,提出了集模糊聚类与主成分分析方法的各优点组合的节水灌溉综合分区方法与分区指标体系,利用主成分分析法对分区指标进行降维处理,简化了计算。在对全国30余省(市、区)资料分析计算的基础上,运用模糊聚类方法进行了全国节水灌溉分区。分区结果用于“全国节水灌溉‘十五’计划及2010年规划”。

       

      Abstract: In view of the characteristics of water-saving irrigation, a synthetic zoning method for water-saving irrigation and the zoning indicators are put forward, which integrate the advantages of both fuzzy clustering means and principal components analysis. The calculation is simplified by applying principal components analysis, for example, by processing the zoning indicators by means of reducing dimensions. Based on the analysis and calculation of the data from over 30 provinces (cities, districts) of China, applying fuzzy clustering means, the country is zoned for water-saving irrigation.

       

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