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主成分回归在阔叶树种时面积测定中的应用
引用本文:丛者福,杨辽.主成分回归在阔叶树种时面积测定中的应用[J].新疆农业大学学报,1995(2).
作者姓名:丛者福  杨辽
作者单位:环境资源分院(丛者福),新疆林业设计院(杨辽)
摘    要:本文以白榆(Ulmus pumila)为例,对无深裂痕阔叶树种叶面积的确定提出了一个较为适合的线性模型,并采用主成分回归的方法处理模型中的复共线性问题,认为该类叶片的叶面积主要受“叶面积综合因子”和“叶缘曲线与抛物线的偏离程度”的影响。

关 键 词:时面积,主成分回归,模型

Application of Principal Component Regression to Surveying Leaf Area Surveying of Broad-Leaved Trees
Cong zhefu, Yang Liao.Application of Principal Component Regression to Surveying Leaf Area Surveying of Broad-Leaved Trees[J].Journal of Xinjiang Agricultural University,1995(2).
Authors:Cong zhefu  Yang Liao
Institution:Cong zhefu; Yang Liao(College of Rezources and Environment) (Xinjinag Forest Designing institute)
Abstract:This Paper, using Ulmus pumila as an example to survey the leaf area of broad-leaved trees leaf hasn't deep rift, raised a su itable linear model, using the method of principal component regression, dealt with the compound multi-collineriity questions of this model, indicated that the leaf area of thess leaves are mainly subjected to" comprehensive factors of the leaf area" and " leaf edge curve and the deviated level of parabola".
Keywords:leaf area  principal component regression  model
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