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Articles containing the keyword 'non-parametric regression'
Category : Research article
article id 579,
category
Research article
(2001).
The Most Similar Neighbour reference in the yield prediction of Pinus kesiya stands in Zambia.
Silva Fennica
vol.
35
no.
4
article id 579.
https://doi.org/10.14214/sf.579
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Author Info
The aim of the study was to develop a yield prediction model using the non-parametric Most Similar Neighbour (MSN) reference method. The model is constructed on stand level but it contains information also on tree level. A 10-year projection period was used for the analysis of stand growth. First, the canonical correlation matrix was calculated for the whole study material using stand volumes at the beginning and at the end of the growth period as independent variables and stand characteristics as dependent variable. Secondly, similar neighbour estimates were searched from the data categories reclassified according to thinnings. Due to this, it was possible to search for growth and yield series which is as accurate as possible both at the beginning and at the end of the growth period. The reliability of the MSN volume predictions was compared to the volumes predicted with the simultaneous yield model. The MSN approach was observed to be more reliable volume predictor than the traditional stand level yield prediction model both in thinned and unthinned stands.
-
Maltamo,
Faculty of Forestry, University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland
E-mail:
matti.maltamo@forest.joensuu.fi
- Eerikäinen, Faculty of Forestry, University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland E-mail: ke@nn.fi
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