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An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships

2012-05Journal article Restricted access
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datacite.subject.sdg02:Erradicar a Fome
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg15:Proteger a Vida Terrestre
dc.contributor.authorMendes, Susana
dc.contributor.authorFernández-Gómez, M. José
dc.contributor.authorPereira, Mário Jorge
dc.contributor.authorAzeiteiro, Ulisses Miranda
dc.contributor.authorGalindo-Villardón, M. Purificación
dc.date.accessioned2025-11-28T16:58:42Z
dc.date.available2025-11-28T16:58:42Z
dc.date.issued2012-05
dc.description.abstractThe wide-ranging and rapidly evolving nature of ecological studies mean that it is not possible to cover all existing and emerging techniques for analyzing multivariate data. However, two important methods enticed many followers: the Canonical Correspondence Analysis (CCA) and the STATICO analysis. Despite the particular characteristics of each, they have similarities and differences, which when analyzed properly, can, together, provide important complementary results to those that are usually exploited by researchers. If on one hand, the use of CCA is completely generalized and implemented, solving many problems formulated by ecologists, on the other hand, this method has some weaknesses mainly caused by the imposition of the number of variables that is required to be applied (much higher in comparison with samples). Also, the STATICO method has no such restrictions, but requires that the number of variables (species or environment) is the same in each time or space.Yet, the STATICO method presents information that can be more detailed since it allows visualizing the variability within groups (either in time or space). In this study, the data needed for implementing these methods are sketched, as well as the comparison is made showing the advantages and disadvantages of each method. The treated ecological data are a sequence of pairs of ecological tables, where species abundances and environmental variables are measured at different, specified locations, over the course of time.eng
dc.description.sponsorshipThe statistical analyses were run using the ADE-4 package [23]. The authors are very grateful to the contributors who have made such a valuable tool available. Our sincere thanks to the Department of Statistics (University of Salamanca) for their inputs and constructive discussions.
dc.identifier.citationMendes, S., Fernández-Gómez, M. J., Pereira, M. J., Azeiteiro, U. M., & Galindo-Villardón, M. P. (2011). An empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationships. Journal of Applied Statistics, 39(5), 979–994. https://doi.org/10.1080/02664763.2011.634393
dc.identifier.doi10.1080/02664763.2011.634393
dc.identifier.issn0266-4763
dc.identifier.issn1360-0532
dc.identifier.urihttp://hdl.handle.net/10400.8/14795
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInforma UK Limited
dc.relation.hasversionhttps://www.tandfonline.com/doi/full/10.1080/02664763.2011.634393
dc.relation.ispartofJournal of Applied Statistics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMultitable analysis
dc.subjectMultivariate data
dc.subjectEcological data analysis
dc.subjectSimultaneous analysis
dc.subjectPaired tables
dc.titleAn empirical comparison of Canonical Correspondence Analysis and STATICO in the identification of spatio-temporal ecological relationshipseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage994
oaire.citation.issue5
oaire.citation.startPage979
oaire.citation.volume39
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMENDES
person.givenNameSUSANA
person.identifier322266
person.identifier.ciencia-id4514-12E2-1FD9
person.identifier.orcid0000-0001-9681-3169
person.identifier.scopus-author-id33568138000
relation.isAuthorOfPublicationdb5be03b-2077-482b-a9cf-8b3e84861276
relation.isAuthorOfPublication.latestForDiscoverydb5be03b-2077-482b-a9cf-8b3e84861276

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