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 Water monitoring sites discrimination using clustering water variables time series data and main latent factors identification
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/8884

title: Water monitoring sites discrimination using clustering water variables time series data and main latent factors identification
authors: Gonçalves. A. Manuela
Costa, Marco
keywords: Surface water quality
Discrimination
Cluster analysis
Principal components analysis
Latent factors identification
issue date: 2012
publisher: Komarek, Arnost & Nagy, Stanislav
abstract: 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.
URI: http://hdl.handle.net/10773/8884
ISBN: 978-80-263-0251-3
source: Proceedings of the 27th Workshop on Statistical Modelling
appears in collectionsESTGA - Comunicações

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