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    Author(s): Andrew T. Hudak; Nicholas L. Crookston; Jeffrey S. Evans; David E. hall; Michael J. Falkowski
    Date: 2009
    Source: Remote Sensing of Environment. 113: 289-290.
    Publication Series: Scientific Journal (JRNL)
    Station: Rocky Mountain Research Station
    PDF: Download Publication  (363.21 KB)


    The 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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    Hudak, 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.


    R software package, yaImpute, Most Similar Neighbor (MSN)

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