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采用组平均聚类法、模糊聚类法、主成分分析法对广东不同被地利用方式对土壤养分含量的影响进行聚类分析．综合3种分类方法，可分为5大类：第1类包括鹤山茶园和鹤山坡地花生；第2类包括鹤山茶园空地、林地有覆盖和无覆盖、芒果地、草地、荒坡地和丰顺坡地青榄；第3类包括鹤山坡地龙眼（新植）、番薯，丰顺坡地龙眼和和高明坡地芒果；第4类包括鹤山坡地龙眼，丰顺坡地茶园，曲江坡地花生和沙田柚；第5类包括高州坡地甘蔗，南雄坡地黄烟、银杏、三华李．结果表明3种分类方法均可用来进行分类，但主成分分析法损失了较多的信息，分类效果受到一定的影响
Using cluster average clustering method, fuzzy clustering method and principal component analysis method, the impact of different land use patterns on soil nutrient content in Guangdong was analyzed by cluster analysis. The first three categories include Heshan Tea Plantations and Heshan Peanuts. The second category includes Heshan tea plantation open spaces, covered and uncovered woodland, mango, grassland, barren slopes and Fengshun slopes Qinglong; the third category includes the longan (new plantation), sweet potato, Fengshun slope longan and Mangao slope mangroves; the fourth category includes Heshan slope longan, Fengshun slope tea garden, Qujiang slope peanut and pomelo; Classes include Gaozhou slope sugarcane, Nanxiong slope yellow smoke, ginkgo, Sanhua Li. The results show that all the three classification methods can be used to classify, but the principal component analysis method lost more information, the classification effect is affected to some extent