Fuzzy coding in constrained ordinations

Mostra el registre complet Registre parcial de l'ítem

  • dc.contributor.author Greenacre, Michaelca
  • dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
  • dc.date.accessioned 2017-07-26T10:50:25Z
  • dc.date.available 2017-07-26T10:50:25Z
  • dc.date.issued 2012-06-01
  • dc.date.modified 2017-07-23T02:14:35Z
  • dc.description.abstract Canonical correspondence analysis and redundancy analysis are two methods of constrained ordination regularly used in the analysis of ecological data when several response variables (for example, species abundances) are related linearly to several explanatory variables (for example, environmental variables, spatial positions of samples). In this report I demonstrate the advantages of the fuzzy coding of explanatory variables: first, nonlinear relationships can be diagnosed; second, more variance in the responses can be explained; and third, in the presence of categorical explanatory variables (for example, years, regions) the interpretation of the resulting triplot ordination is unified because all explanatory variables are measured at a categorical level.
  • dc.format.mimetype application/pdfca
  • dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=1325
  • dc.identifier.citation Ecology, 2013, 94(2), 280-286
  • dc.identifier.uri http://hdl.handle.net/10230/19888
  • dc.language.iso eng
  • dc.relation.ispartofseries Economics and Business Working Papers Series; 1325
  • dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
  • dc.subject.keyword canonical correspondence analysis
  • dc.subject.keyword crisp coding
  • dc.subject.keyword dummy variables
  • dc.subject.keyword fuzzy coding
  • dc.subject.keyword redundancy analysis
  • dc.subject.keyword Statistics, Econometrics and Quantitative Methods
  • dc.title Fuzzy coding in constrained ordinationsca
  • dc.title.alternative
  • dc.type info:eu-repo/semantics/workingPaper