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主成分分析与聚类分析在土壤分类中的应用 被引量:4

Application of principal component analysis and cluster analysis to classification of ancient tree-growing soils
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摘要 为了更好地保护上海古树,对古树生长点的土壤进行调查与测试,并进行了指标间相关分析、主成分分析和聚类分析。结果表明:古银杏、古香樟的生长与土壤的容重、有效N、速效P和脲酶呈显著相关,由主成分分析划分的5个主成分可全面概括17项土壤肥力指标;采用聚类分析将古树生长样点划为4种肥力类型,并对各土壤类型提出了相应的改良措施。 In order to better protect ancient trees in Shanghai area,the tree-growing soils were surveyed and tested,and their indicators were studied by means of correlation analysis,principal component analysis and cluster analysis.The results showed that the growth of the ancient ginkgo and ancient camphor trees was significantly correlated to the bulk density,available N,readily available P and urease of the soil,and 5 principal components divided by the principal component analysis could comprehensively summarize 17 indicators of the soil fertility;By cluster analysis the tree-growing soils were divided into 4 different types of soil fertility,and the corresponding measures to improve each type soil were also proposed.
作者 刘家雄
出处 《上海农业学报》 CSCD 北大核心 2011年第3期110-113,共4页 Acta Agriculturae Shanghai
基金 上海市建科委资助项目
关键词 土壤性质 主成分分析 聚类分析 古树 Soil properties Principal component analysis Cluster analysis Ancient tree
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