Allocation of oaks to Kraft classes based on linear and nonlinear kernel discriminant variables

• Autorzy: Bogna Zawieja , Katarzyna Kaźmierczak
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

discriminant variables; kernel; Kraft classes; oak (Quercus L.)

• Wydawca: De Gruyter Open
• Czasopismo: Biometrical Letters
• Rocznik: 2016
• Tom: 53
• Numer: 1
• Strony: 37-46

Daty

wydano

2016-06-01

online

2016-06-08

Twórcy

autor

Bogna Zawieja

• Department of Mathematical and Statistical Methods, Poznań University of Life Sciences. Wojska Polskiego 28, 60-637 Poznań, Poland

autor

Katarzyna Kaźmierczak

• Department of Forest Management, Poznań University of Life Sciences, Wojska Polskiego 71c, 60-625 Poznań, Poland

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Identyfikatory

DOI

10.1515/bile-2016-0005