Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/20999

TitleWater monitoring sites discrimination using clustering water variables time series data and main latent factors identification
Author(s)Gonçalves, A. Manuela
Costa, Marco
KeywordsSurface water quality
Discrimination
Cluster analysis
Principal components analysis
Latent factors identification
Issue dateJul-2012
PublisherKomarek, Arnost & Nagy, Stanislav
Abstract(s)Application of multivariate methodologies for the evaluation and interpretation of space-time variations in an environmental monitoring data set from an hydrological basin is presented in this study. The results obtained allowed detecting natural clusters of monitoring sites with similar water quality type and identifying important discriminant variables for each cluster. Furthermore, this type of analysis allows reducing the number of models in the variables future modelling process.
TypeConference paper
URIhttp://hdl.handle.net/1822/20999
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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