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K-means聚类方法在黑龙江省低山丘陵区坡耕地类型区划分中的应用
引用本文:吕志学,孙雪文,刘凤飞.K-means聚类方法在黑龙江省低山丘陵区坡耕地类型区划分中的应用[J].水土保持通报,2015,35(1):124-127.
作者姓名:吕志学  孙雪文  刘凤飞
作者单位:黑龙江省水土保持科学研究所
基金项目:黑龙江省科技攻关项目“黑龙江省山丘区坡耕地综合整治措施体系研究”(GC05B304)
摘    要:目的]探索K-means聚类方法在黑龙江省坡耕地类型区划分上应用的可行性,为各市(县)坡耕地水土保持规划和治理提供依据。方法]利用K-means聚类方法对黑龙江省70个低山丘陵区市(县)进行科学区划。结果]低山区市(县)共21个,丘陵区县市共49个。结论]所选16个分类指标的显著性均小于0.05,证明分类结果令人满意。

关 键 词:K-means聚类方法  低山丘陵区  坡耕地  类型区划分
收稿时间:2014/1/17 0:00:00
修稿时间:2014/2/17 0:00:00

Application of K-means Clustering Method in Regionalization of Slope Farmland in Low Mountain and Hill Area of Heilongjiang Province
LV Zhixue,SUN Xuewen and LIU Fengfei.Application of K-means Clustering Method in Regionalization of Slope Farmland in Low Mountain and Hill Area of Heilongjiang Province[J].Bulletin of Soil and Water Conservation,2015,35(1):124-127.
Authors:LV Zhixue  SUN Xuewen and LIU Fengfei
Institution:L Zhixue;SUN Xuewen;LIU Fengfei;Heilongjiang Provincial Soil and Water Conservation Scientific Research Institutes;
Abstract:Objective] To explore the feasibility of the K-means clustering method in the classification of farmland types in Heilongjiang Province and provide support for the planning and management of soil and water conservation in slope farmland.Methods] We made a clustering of farmlands in 70 cities(or counties) in low mountain and hilly areas in Heilongjiang Province using K-means clustering method.Results] The cities or counties in the low mountain is 21 and hill area is 49.Conclusion] The 16 classification indexes were significant at the level of 0.05, indicating the fitness of classification.
Keywords:K-means clustering method  low mountain and hill area  slope farmland  regionalization
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