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CO-tucker: a new method for the simultaneous analysis of a sequence of paired tables

2016-12-04Journal article Restricted access
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datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg13:Ação Climática
datacite.subject.sdg14:Proteger a Vida Marinha
dc.contributor.authorMENDES, SUSANA
dc.contributor.authorFernández-Gómez, M. José
dc.contributor.authorCotrim Marques, Sónia
dc.contributor.authorPardal, Miguel Ângelo
dc.contributor.authorAzeiteiro, Ulisses Miranda
dc.contributor.authorGalindo-Villardón, M. Purificación
dc.date.accessioned2025-06-09T10:54:42Z
dc.date.available2025-06-09T10:54:42Z
dc.date.issued2016-12-04
dc.description.abstractRelationships between species and their environment are a key com ponent to understand ecological communities. Usually, this kind of data are repeated over time or space for communities and their envi ronment, which leads to a sequence of pairs of ecological tables, i.e. multi-way matrices. This work proposes a new method which is a combined approach of STATICO and Tucker3 techniques and deals to the problem of describing not only the stable part of the dynamics of structure–function relationships between communities and their environment (in different locations and/or at different times), but also the interactions and changes associated with the ecosystems’ dynamics. At the same time, emphasis is given to the comparison with the STATICO method on the same (real) data set, where advan tages and drawbacks are explored and discussed. Thus, this study produces a general methodological framework and develops a new technique to facilitate the use of these practices by researchers. Fur thermore, from this first approach with estuarine environmental data one of the major advantages of modeling ecological data sets with the CO-TUCKER model is the gain in interpretability.eng
dc.description.sponsorshipThis work was supported by the Fundação para a Ciência e Tecnologia (FCT), through the strategic project UID/MAR/04292/2013 granted to MARE.
dc.identifier.citationMendes, S., Fernández-Gómez, M. J., Marques, S. C., Pardal, M. Â., Azeiteiro, U. M., & Galindo-Villardón, M. P. (2016). CO-tucker: a new method for the simultaneous analysis of a sequence of paired tables. Journal of Applied Statistics, 44(15), 2729–2755. https://doi.org/10.1080/02664763.2016.1261815
dc.identifier.doi10.1080/02664763.2016.1261815
dc.identifier.issn0266-4763
dc.identifier.issn1360-0532
dc.identifier.urihttp://hdl.handle.net/10400.8/13187
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInforma UK Limited
dc.relationMARE - Marine and Environmental Sciences Centre
dc.relation.hasversionhttps://v2.sherpa.ac.uk/id/publication/5499
dc.relation.ispartofJournal of Applied Statistics
dc.rights.uriN/A
dc.subjectCore matrix
dc.subjectCO-TUCKER
dc.subjectjoint biplot
dc.subjectmulti-way matrices
dc.subjectTucker3
dc.subjectSTATICO
dc.titleCO-tucker: a new method for the simultaneous analysis of a sequence of paired tableseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMARE - Marine and Environmental Sciences Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAR%2F04292%2F2013/PT
oaire.citation.endPage2755
oaire.citation.issue15
oaire.citation.startPage2729
oaire.citation.titleJournal of Applied Statistics
oaire.citation.volume44
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMENDES
person.familyNameCotrim Marques
person.givenNameSUSANA
person.givenNameSónia
person.identifier322266
person.identifier.ciencia-id4514-12E2-1FD9
person.identifier.orcid0000-0001-9681-3169
person.identifier.orcid0000-0002-9467-3825
person.identifier.scopus-author-id33568138000
person.identifier.scopus-author-id9271998100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationdb5be03b-2077-482b-a9cf-8b3e84861276
relation.isAuthorOfPublication35eb8ea7-1be8-47f1-81fa-5bd89ac81580
relation.isAuthorOfPublication.latestForDiscovery35eb8ea7-1be8-47f1-81fa-5bd89ac81580
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