.png){kind=icon}
.png){kind=icon}
Return
Exploring geochemical data using compositional techniques: A practical guide
.png){kind=icon}
OA
AI
DOI：10.1016/j.gexplo.2024.107385.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
John Aitchison revolutionised in 1982 our way of approaching geochemical data focusing on their relative nature. In this perspective, the investigation of single variables is meaningless due to the entangled structure that links all the parts of a composition. Starting from that time, several developments have characterized the debate within the scientific community, both from the applied and the theoretical point of view. The consequence was that the number of papers where compositional data are consistently and coherently managed increased exponentially. The exploratory phase of compositional data is a very important step in data analysis and modeling. It not only helps to clarify the available sample data structure but also determines the base to develop models to predict time and space changes. Real chemical data along the course of the river Tevere (Tiber) (Italy) and its tributaries are taken to illustrate how compositional techniques help explore compositions and detect patterns and outliers in the data.
Keywords:
Compositional data
CoDa-biplot
Isometric log -ratio
CoDa-dendrogram
Principal balance coordinates
Index of proportionality
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.3
Papers:
3.8K
Citations:
9.5K
Organization
View more organizations