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TESTgroup-BNL/spectratrait: spectratrait_v1.0.5

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Mar 2021Publisher:Zenodo
Authors: Shawn P. Serbin; Jeremiah Anderson; JulienLamour; Kim Ely;
Code repository: https://github.com/TESTgroup-BNL/spectratrait/tree/v1.0.5

doi: 10.5281/zenodo.5809132 , 10.5281/zenodo.4598120 , 10.5281/zenodo.4730995 , 10.5281/zenodo.4593709 , 10.5281/zenodo.4593748

TESTgroup-BNL/spectratrait: spectratrait_v1.0.5

Abstract

A tutorial R package for illustrating how to fit, evaluate, and report spectra-trait PLSR models. The package provides functions to enhance the base functionality of the R pls package, identify an optimal number of PLSR components, standardize model validation, and vignette examples that utilize datasets sourced from EcoSIS (https://ecosis.org/) Angela C Burnett, Jeremiah Anderson, Kenneth J Davidson, Kim S Ely, Julien Lamour, Qianyu Li, Bailey D Morrison, Dedi Yang, Alistair Rogers, Shawn P Serbin, A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression, Journal of Experimental Botany, Volume 72, Issue 18, 30 September 2021, Pages 6175–6189, https://doi.org/10.1093/jxb/erab295

Angela C Burnett, Jeremiah Anderson, Kenneth J Davidson, Kim S Ely, Julien Lamour, Qianyu Li, Bailey D Morrison, Dedi Yang, Alistair Rogers, Shawn P Serbin, A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression, Journal of Experimental Botany, Volume 72, Issue 18, 30 September 2021, Pages 6175–6189, https://doi.org/10.1093/jxb/erab295

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PLSR

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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