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Titolo:
A critical evaluation of the use of cluster analysis to identify contaminated sediments in the Ria De Vigo (NW Spain)
Autore:
Rubio, B; Nombela, MA; Vilas, F;
Indirizzi:
Univ Vigo, Dept Geociencias Marinas & Ordenac Terr, Fac Ciencias, Vigo 36200, Spain Univ Vigo Vigo Spain 36200 Ordenac Terr, Fac Ciencias, Vigo 36200, Spain
Titolo Testata:
CIENCIAS MARINAS
fascicolo: 2, volume: 27, anno: 2001,
pagine: 175 - 208
SICI:
0185-3880(200106)27:2<175:ACEOTU>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
MULTIVARIATE-ANALYSIS; METAL DISTRIBUTION; COASTAL SEDIMENTS; HEAVY-METALS; POLLUTION; PORTUGAL; ESTUARY; GULF; GEOCHEMISTRY; CADMIUM;
Keywords:
heavy metals; contamination; cluster analysis; discriminant analysis; subtidal sediments;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
41
Recensione:
Indirizzi per estratti:
Indirizzo: Rubio, B Univ Vigo, Dept Geociencias Marinas & Ordenac Terr, Fac Ciencias,Vigo 36200, Spain Univ Vigo Vigo Spain 36200 err, Fac Ciencias, Vigo 36200, Spain
Citazione:
B. Rubio et al., "A critical evaluation of the use of cluster analysis to identify contaminated sediments in the Ria De Vigo (NW Spain)", CIENC MAR, 27(2), 2001, pp. 175-208

Abstract

The indiscriminate use of cluster analysis to distinguish contaminated andnon-contaminated sediments has led us to make a comparative evaluation of different cluster analysis procedures as applied to heavy metal concentrations in subtidal sediments from the Ria de Vigo, NW Spain. The use of different cluster algorithms and other transformations from the same departing set of data lead to the formation of different clusters with a clear inconclusive result about the contamination status of the sediments. The results show that: this approach is better suited to identifying groups of samples differing in sedimentological characteristics, such as grain size, rather than in the degree of contamination. Our main aim is to call attention to these aspects in cluster analysis and to suggest that researchers should be rigorous with this kind of analysis. Finally, the use of discriminant analysisallows us to find a discriminant Function that separates the samples into two clearly differentiated groups, which should not be treated jointly.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/20 alle ore 12:14:32