Biometrical Letters Vol. 53(1), 2016, pp. 37-46
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ALLOCATION OF OAKS TO KRAFT CLASSES BASED ON LINEAR AND NONLINEAR KERNEL DISCRIMINANT VARIABLES Bogna Zawieja1, Katarzyna Kaźmierczak2 1Department of Mathematical and Statistical Methods, Poznań University of Life Sciences. Wojska Polskiego 28, 60-637 Poznań, Poland, bogna13@up.poznan.pl 2Department of Forest Management, Poznań University of Life Sciences, Wojska Polskiego 71c, 60-625 Poznań, Poland, kkdendro@up.poznan.pl |
A method of discriminant variable determination was used to visualize the division of oak trees into Kraft classes. Usual discriminant variables and several types of kernel discriminant variables were studied. For this purpose the traits of oak (Quercus L.) trees, measured on standing trees, were used. These traits included height of tree, breast height diameter and crown projection area. The use of the Gaussian kernel and modified Gaussian kernel enabled the clearest division into Kraft classes. In particular, the latter method proved to be the most effective.
discriminant variables, kernel, Kraft classes, oak (Quercus L.)
