Point distribution form model for spruce stems (Picea abies [L.] Karst.)

M. Křepela
Additional contact information
M. Křepela: Czech University of Agriculture, Faculty of Forestry, Prague, Czech Republic

Journal of Forest Science, 2002, vol. 48, issue 4, 150-155

Abstract: The paper deals with the construction of a point distribution form model for spruce stems. This model is based on the principal components analysis of variance-covariance matrix formed for the Procrustes residuals. The calculation of full Procrustes co-ordinates, the principal components, is demonstrated on an example of a spruce experimental plot at premature age, and a point distribution model is constructed for the first three components. The parameters of the model are evaluated in relation to Konšel's (Kraft's) tree classes, normality of their classification is tested, maxima and minima are demonstrated on actual trees. The complete stem shape analysis of all four samples is also provided. A special model is constructed for these samples and the course of the parameters of this model is graphically represented.

Keywords: Norway spruce (Picea abies [L.] Karst.); stem shape; Procrustes analysis; principal components analysis; point distribution form model (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://jfs.agriculturejournals.cz/doi/10.17221/11868-JFS.html (text/html)
http://jfs.agriculturejournals.cz/doi/10.17221/11868-JFS.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnljfs:v:48:y:2002:i:4:id:11868-jfs

DOI: 10.17221/11868-JFS

Access Statistics for this article

Journal of Forest Science is currently edited by Mgr. Ilona Procházková

More articles in Journal of Forest Science from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().