Publication: Evaluating the key assumptions underlying dendro-provenancing: How to spruce it up with a scissor plot
Evaluating the key assumptions underlying dendro-provenancing: How to spruce it up with a scissor plot
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Gut, U. (2018). Evaluating the key assumptions underlying dendro-provenancing: How to spruce it up with a scissor plot. Dendrochronologia, 52, 131–145. https://doi.org/10.1016/j.dendro.2018.09.008
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In this paper, dendro-provenancing is framed as a search for statistical Nearest Neighbors. The ‘k-Nearest Neighbors leave one-out cross-validation’ process (k-NN) is proposed as a method for validating dendro-provenancing approaches. Furthermore, it allows researchers to consistently compare and evaluate different proximity measures with respect to their suitability for dendro-provenancing. The validation process is demonstrated on a data set of 401 ring-width series of Norway spruce (Picea abies (L.) H. Karst.) encompassing 15 sites
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- Gut, Urs
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Gut, U. (2018). Evaluating the key assumptions underlying dendro-provenancing: How to spruce it up with a scissor plot. Dendrochronologia, 52, 131–145. https://doi.org/10.1016/j.dendro.2018.09.008
