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Application of hypercorrelated matrices in ecological research
dc.creator | Karadžić, Branko | |
dc.creator | Jarić, Snežana | |
dc.creator | Pavlović, Pavle | |
dc.creator | Marinković, Saša | |
dc.creator | Mitrović, Miroslava | |
dc.date.accessioned | 2020-07-06T13:58:46Z | |
dc.date.available | 2900-01-01 | |
dc.date.issued | 2014 | |
dc.identifier.issn | 2330-8265 | |
dc.identifier.issn | 2330-8281 | |
dc.identifier.uri | https://radar.ibiss.bg.ac.rs/handle/123456789/3735 | |
dc.description.abstract | Ecological data matrices often require some form of pre-processing so that any undesirable effects (e.g. the variable size effect) may be removed from multivariate analyses. This paper describes hypercorrelation, a simple data transformation that improves ordination methods significantly. Hypercorrelated matrices efficiently eliminate the ‘arch’ (or Guttman) effect, a spurious polynomial relation between ordination axes. These matrices reduce the sensitivity of correspondence analysis to outliers. Canonical analyses (canonical correspondence analysis and redundancy analysis) of hypercorrelated matrices are resistant to undesirable effects of missing data. Finally, the hypercorrelation extends applicability of “linear ordination method” (principal components analysis and redundancy analysis) to sparse (high beta diversity) matrices. | en |
dc.language.iso | en | |
dc.publisher | Science Publishing Group | |
dc.relation | info:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173018/RS// | |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/603629/EU// | |
dc.rights | restrictedAccess | |
dc.source | Computational Biology and Bioinformatics | |
dc.subject | Arch Effect | |
dc.subject | Beta diversity | |
dc.subject | (Canonical) Correspondence Analysis | |
dc.subject | Hypercorrelation | |
dc.subject | Missing Data | |
dc.subject | Outliers | |
dc.subject | Principal Components Analysis | |
dc.subject | Redundancy Analysis | |
dc.title | Application of hypercorrelated matrices in ecological research | en |
dc.type | article | |
dc.rights.license | ARR | |
dcterms.abstract | Митровић, Мирослава; Маринковић, Саша; Караджић, Бранко; Јарић, Снежана; Павловић, Павле; | |
dc.rights.holder | © 2014 Science Publishing Group | |
dc.citation.issue | 4 | |
dc.citation.volume | 2 | |
dc.identifier.doi | 10.11648/j.cbb.20140204.12 | |
dc.citation.spage | 57 | |
dc.citation.epage | 62 | |
dc.type.version | publishedVersion |