Integration and holistic analysis of multiple multidimensional soil data sets

Complex matrices such as soil have a range of measurable characteristics, and thus data to describe them can be considered multidimensional. These characteristics can be strongly influenced by factors that introduce confounding effects that hinder analyses. Traditional statistical approaches lack th...

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Bibliographic Details
Published in:	Talanta (Oxford) Vol. 274; p. 125954
Main Authors:	Pilkington, Lisa I., Kerner, William, Bertoldi, Daniela, Larcher, Roberto, Lee, Soon A., Goddard, Matthew R., Albanese, Davide, Franceschi, Pietro, Fedrizzi, Bruno
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.07.2024
Subjects:	biodiversity biomarkers chemical composition Compositional data Confounding variables data collection fungi metagenomics New Zealand soil Soil analysis Statistical workflow Variable association Variable transformation vineyards viticulture New Zealand Statistical workflow Confounding variables Soil analysis Variable association Variable transformation Compositional data
ISSN:	0039-9140, 1873-3573, 1873-3573
Online Access:	Get full text
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