论文部分内容阅读
本文基于对新余市油茶林188个样地产量(x_O)、密度(x_1)、株高(x_2)、地径(x_3)、表土深(x_4)、冠层总体积(x_5)等多个主要性状指标的测定,借助于主成份分析(PCA)、聚类分析等数量分类方法,将油茶初步划分为3类,在此基础上,使用判别分析检验了分类结果的准确性和可靠性,并求出了一定的分类数量标准,为油茶分类揭示了一条新的途径。 油茶数量分类之判别分析模型: Y=-0.000995928x_1-0.8129555x_2-0.5823174x_3+0.029696178x_5 经检验表明,此数学模型之判别准确率达88.3%。
Based on the analysis of 188 major cultivars (x_O), density (x_1), plant height (x_2), soil diameter (x_3), surface soil depth (x_4), total canopy volume (x_5) With the aid of principal component analysis (PCA), cluster analysis and other quantitative classification methods, Camellia oleifera was initially divided into three categories. On the basis of this, the discriminant analysis was used to test the accuracy and reliability of the classification results. Obtained a certain number of standards for the classification of Camellia revealed a new way. The discriminant analysis model of the number classification of Camellia oleifera: Y = -0.000995928x_1-0.8129555x_2-0.5823174x_3 + 0.029696178x_5 The test shows that the accuracy of this mathematical model is 88.3%.