Dissertationes Forestales 94
- Abstract
- Tiivistelmä
- Full text (pdf 574 kb)
Sironen, Susanna 2009. Estimating individual tree growth using non-parametric methods. University of Joensuu, Faculty of Forest Sciences
ISSN 1795-7389
ISBN 978-951-651-271-1 (PDF)
ISBN 978-951-651-271-1 (PDF)
This dissertation is a summary of the following original articles:
- Sironen, S., Kangas, A., Maltamo, M. and Kangas, J. 2001. Estimating individual tree growth with the k-Nearest Neighbour and k-Most Similar Neighbour methods. Silva Fennica 35: 453–467.
http://www.metla.fi/silvafennica/full/sf35/sf354453.pdf
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Sironen, S., Kangas, A., Maltamo, M.and Kangas, J. 2003. Estimating individual tree growth with nonparametric methods. Canadian Journal of Forest Research 33: 444–449. http://www.ingentaconnect.com/content/nrc/cjfr/2003/00000033/00000003/art00010
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Sironen, S., Kangas, A., Maltamo M. and J. Kalliovirta, J. 2008. Localization of growth estimates using non-parametric imputation methods. Forest Ecology and Management 256: 674–684.
doi:10.1016/j.foreco.2008.05.013
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Sironen, S., Kangas, A., Maltamo M. Predicting tree- and stand-level growth using simultaneous k-Nearest Neighbour imputation for diameter and height increment. Manuscript.
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Sironen, S., Kangas, A., Maltamo M. Effect of reference data selection on the accuracy of non-parametric k-NN imputation for estimating individual tree growth. Manuscript.
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Sironen, S., Kangas, A., Maltamo M. Comparison of different non-parametric growth imputation methods in the presence of correlated observations. Manuscript.
Päivitetty: 02.11.2010 17:03