Skip to Main Content (Press Enter)

Logo UNIOR
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Persone
  • Strutture

UNIFIND
Logo UNIOR

|

UNIFIND

unior.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Persone
  • Strutture

Weighted principal component analysis for compositional data: application example for the water chemistry of the Arno river (Tuscany, central Italy)

Articolo
Data di Pubblicazione:
2013
Abstract:
Data collected for the investigation of the environmental and ecological characteristics of a river basin are often in the form of a large three-way array; hence, a particular version of the Tucker model could be applied to gather more information contained in such complex geochemical systems. Indeed, when the data are in compositional form, more attention must be given to the analysis of the numerical data. Recently, the Tucker3 model has been proposed to analyze compositional data characterized by a three-way structure. In this work, a particular version of the Tucker model, known as the weighted
principal component analysis, was used to analyze water samples collected from the Arno river (Tuscany, central Italy)
in order to evaluate the method’s effectiveness. Several graphical displays have been developed to allow an accurate and complete interpretation of results.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Gallo, Michele; Buccianti, A.
Autori di Ateneo:
GALLO Michele
Link alla scheda completa:
https://unora.unior.it/handle/11574/40529
Link al Full Text:
https://unora.unior.it//retrieve/handle/11574/40529/2962/10.1002-env.2214.pdf
Pubblicato in:
ENVIRONMETRICS
Journal
  • Dati Generali

Dati Generali

URL

http://onlinelibrary.wiley.com/doi/10.1002/env.2214/abstract
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.2.0