Biometrical Letters

ISSN:1896-3811

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Volume (53) Number 1 pp. 37-46

Bogna Zawieja 1, Katarzyna Kaźmierczak 2

1Department of Mathematical and Statistical Methods, Poznań University of Life Sciences. Wojska Polskiego 28, 60-637Poznań, Poland
2Department of Forest Management, Poznań University of Life Sciences, Wojska Polskiego 71c, 60-625Poznań, Poland

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

Summary

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.

Keywords: discriminant variables, kernel, Kraft classes, oak (Quercus L.)
https://content.sciendo.com/downloadpdf/journals/bile/53/1/article-p37.pdf Full text available in Adobe Acrobat format

DOI: 10.1515/bile-2016-0005

For citation:

MLA Zawieja, Bogna, and Katarzyna Kaźmierczak. "Allocation of oaks to Kraft classes based on linear and nonlinear kernel discriminant variables." Biometrical Letters 53.1 (2016): 37-46. DOI: 10.1515/bile-2016-0005
APA Zawieja, B., & Kaźmierczak, K. (2016). Allocation of oaks to Kraft classes based on linear and nonlinear kernel discriminant variables. Biometrical Letters 53(1), 37-46 DOI: 10.1515/bile-2016-0005
ISO 690 ZAWIEJA, Bogna, KAźMIERCZAK, Katarzyna. Allocation of oaks to Kraft classes based on linear and nonlinear kernel discriminant variables. Biometrical Letters, 2016, 53.1: 37-46. DOI: 10.1515/bile-2016-0005