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

Application of K-means Clustering Method in Regionalization of Slope Farmland in Low Mountain and Hill Area of Heilongjiang Province

[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。

[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.