Selecting statistical models and variable combinations for optimal classification using otolith microchemistry

Ecological Applications

Volumn 21, Issue 4, 2011, Pages 1352-1364

  Mercier, Lény ^a   Darnaude, Audrey M ^a   Bruguier, Olivier ^b   Vasconcelos, Rita P ^c   Cabral, Henrique N ^c   Costa, Maria J ^c   Lara, Monica ^d   Jones, David L ^e   Mouillot, David ^a  

^a UNIVERSITÉ MONTPELLIER 2   (France)

^b UNIVERSITÉ MONTPELLIER 2   (France)

^c UNIVERSITY OF LISBON   (Portugal)

^d ST PETERSBURG COLLEGE   (United States)

^e UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Artificial Neural Networks; Classification method; Fish origin; Habitat discrimination; Induced coupled plasma mass spectrometer (SB ICP MS); Linear Discriminant Analysis; Nursery habitats; Otolith microchemistry; Quadratic Discriminant Analysis; Random Forest; Trace elements

Indexed keywords

METAL;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; ASSESSMENT METHOD; COASTAL ZONE; DATA SET; DISCRIMINANT ANALYSIS; FISH; HABITAT TYPE; HOMOGENEITY; IDENTIFICATION METHOD; MASS SPECTROMETRY; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; OTOLITH; PLASMA; RECRUITMENT (POPULATION DYNAMICS); STOCK ASSESSMENT; TRACE ELEMENT;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; CHEMISTRY; DEMOGRAPHY; METABOLISM; PHYSIOLOGY; SEA BREAM; STATISTICAL MODEL; VESTIBULE;

ANIMALS; DEMOGRAPHY; METALS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; OTOLITHIC MEMBRANE; SEA BREAM;

EID: 79958797559     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/09-1887.1     Document Type: Article

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