Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Region (Italy)

Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Region (Italy)

This study investigates the application of Compositional Data Analysis (CoDA) and multivariate statistical techniques to geochemical data from the soils of the Campania region. The dataset examined includes 3571 soil samples analyzed for 37 chemical elements. Principal Component Analysis (PCA) was e...

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Bibliographic Details
Main Authors: Lucia Rita Pacifico, Annalise Guarino, Antonio Iannone, Stefano Albanese
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Geosciences
Subjects:
environmental geochemistry
compositional data analysis
geochemical mapping
multivariate statistics
Online Access:https://www.mdpi.com/2076-3263/15/1/20
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