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Corrigendum to "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data"Author(s): Andrew T. Hudak; Nicholas L. Crookston; Jeffrey S. Evans; David E. hall; Michael J. Falkowski
Source: Remote Sensing of Environment. 113: 289-290.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionThe authors regret that an error was discovered in the code within the R software package, yaImpute (Crookston & Finley, 2008), which led to incorrect results reported in the above article. The Most Similar Neighbor (MSN) method computes the distance between reference observations and target observations in a projected space defined using canonical correlation analysis.
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CitationHudak, Andrew T.; Crookston, Nicholas L.; Evans, Jeffrey S.; hall, David E.; Falkowski, Michael J. 2009. Corrigendum to "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data". Remote Sensing of Environment. 113: 289-290.
KeywordsR software package, yaImpute, Most Similar Neighbor (MSN)
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