Canonical non-symmetrical correspondence analysis: an alternative in constrained ordination

Canonical non-symmetrical correspondence analysis is developed as an alternative method for constrained ordination, relating external information (e.g., environmental variables) with ecological data, considering species abundance as dependant on sites. Ordination axes are restricted to be linear com...

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Detalhes bibliográficos
Autores: Willems, P. M., Galindo Villardon, Ma. Purificación
Tipo de documento: artigo
Data de publicação:2008
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2099/8941
Acesso em linha:https://hdl.handle.net/2099/8941
Access Level:Acceso aberto
Palavra-chave:Multivariate analysis
Mathematical statistics
Biplot
Canonical correspondence analysis
Non-symmetrical correspondence analysis
Anàlisi multivariable
Estadística matemàtica--Aplicacions
Classificació AMS::62 Statistics::62H Multivariate analysis
Classificació AMS::62 Statistics::62P Applications
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
Descrição
Resumo:Canonical non-symmetrical correspondence analysis is developed as an alternative method for constrained ordination, relating external information (e.g., environmental variables) with ecological data, considering species abundance as dependant on sites. Ordination axes are restricted to be linear combinations of the environmental variables, based on the information of the most abundant species. This extension and its associated unconstrained ordination method are terms of a global model that permits an empirical evaluation of the impact that the environmental variables have on the community composition. Scores, contributions, qualities of representation, interpretation of dispersion graphs and an application to real vegetation data are presented.