Constructing a virtual forest: Using hierarchical nearest neighbor imputation to generate simulated tree lists

By Gehringer Kevin R.   Turnblom Eric C.  

Canadian Journal of Forest Research, Vol. 44, Iss. 7, 2014-01 ,pp. : 711-719

NRC Research Press

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Estimating cavity tree and snag abundance using negative binomial regression models and nearest neighbor imputation methods

By Eskelson Bianca N.I.   Temesgen Hailemariam   Barrett Tara M.  

Canadian Journal of Forest Research, Vol. 39, Iss. 9, 2009-09 ,pp. : 1749-1765

NRC Research Press

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Landscape-scale parameterization of a tree-level forest growth model: a k-nearest neighbor imputation approach incorporating LiDAR data

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Canadian Journal of Forest Research, Vol. 40, Iss. 2, 2010-02 ,pp. : 184-199

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Comparison of the k-nearest neighbor technique with geographical calibration for estimating forest growing stock volume

By Yim Jong S.   Kim Young Hwan   Kim Sung Ho   Jeong Jin Hyun   Shin Man Yong  

Canadian Journal of Forest Research, Vol. 41, Iss. 1, 2011-01 ,pp. : 73-82

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Evaluating sample plot imputation techniques as input in forest management planning

By Duvemo Karl   Barth Andreas   Wallerman Jörgen  

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