摘要
利用基于模糊图论最大树模型,通过对河南省15个市平均温度、降水量、光照时数3类气象因子数据进行分类分级和极值标准化处理,用模糊聚类分析方法实现了河南省气象因子分区研究;同时利用小麦产量数据对该算法划分的结果进行了对比验证。分析结果表明该生态区划分可为农业生产提供一些建设性意见。
Using data processing methods of classification and standardization,the authentic meteorological factor data of the average temperature,rainfall and illuminating hours in fifteen cities of Henan Province was derived.The method of the maximal fuzzy spanning tree based on fuzzy graph was more deeply investigated,and the Henan Province Climatic region was divided with the maximal fuzzy spanning tree clustering analysis models.At the meantime,the results of the algorithm was tested and verified based on the wheat output data,and the experiment results proved the excellent performance of the algorithm,and some constructive suggestions for agricultural production have been provided.
出处
《测绘科学技术学报》
北大核心
2011年第6期436-441,共6页
Journal of Geomatics Science and Technology
基金
国家自然科学基金资助项目(41001313)
关键词
最大树
气象因子
模糊聚类分析
相似矩阵
分类分级
the maximal tree
meteorological factors
fuzzy clustering analysis
similar matrix
classification
