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

Full metadata record
DC FieldValueLanguage
dc.contributor.authorGonçalves, A. Manuela-
dc.contributor.authorCosta, Marco-
dc.date.accessioned2012-11-26T17:35:34Z-
dc.date.available2012-11-26T17:35:34Z-
dc.date.issued2012-07-
dc.identifier.urihttp://hdl.handle.net/1822/20999-
dc.description.abstractApplication 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.por
dc.description.sponsorshipFCTpor
dc.language.isoengpor
dc.publisherKomarek, Arnost & Nagy, Stanislavpor
dc.rightsrestrictedAccesspor
dc.subjectSurface water qualitypor
dc.subjectDiscriminationpor
dc.subjectCluster analysispor
dc.subjectPrincipal components analysispor
dc.subjectLatent factors identificationpor
dc.titleWater monitoring sites discrimination using clustering water variables time series data and main latent factors identificationpor
dc.typeconferencePaper-
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationConferenceDateJuly 16-20por
sdum.event.typeconferencepor
oaire.citationStartPage531por
oaire.citationEndPage536por
oaire.citationConferencePlacePrague, Czech Republicpor
oaire.citationTitleIWSM2012- 27th Workshop on Statistical Modellingpor
sdum.conferencePublicationIWSM2012- 27th Workshop on Statistical Modellingpor
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

Files in This Item:
File Description SizeFormat 
amgmcWSM.pdf
  Restricted access
Peer Review Proceeding of International Conference348,11 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID