1975
DOI: 10.2307/2258601
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Data Transformations in Ecological Ordination: II. On the Meaning of Data Standardization

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Cited by 138 publications
(87 citation statements)
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“…The number of ordination axes was determined by examining the relationship between stress and number of axes, and by using randomization tests to confirm that each axis in the final analysis explained significantly more variation than expected by chance. All variables were standardized by the relativization by maximum method (Noy-Meir et al 1975) prior to analysis. Sorensen's distance measure was used (comparable results were obtained with different distance metrics and ordination techniques, indicating that the observed patterns were insensitive to the methods used).…”
Section: Discussionmentioning
confidence: 99%
“…The number of ordination axes was determined by examining the relationship between stress and number of axes, and by using randomization tests to confirm that each axis in the final analysis explained significantly more variation than expected by chance. All variables were standardized by the relativization by maximum method (Noy-Meir et al 1975) prior to analysis. Sorensen's distance measure was used (comparable results were obtained with different distance metrics and ordination techniques, indicating that the observed patterns were insensitive to the methods used).…”
Section: Discussionmentioning
confidence: 99%
“…A matriz de dados "espécies × parcelas" foi estandarizada (Noy-Meir et al 1975) para análise de agrupamento. Evitou-se a centralização da matriz para que possíveis relações entre parcelas que mostram variações graduais não se perdessem (Noy-Meir 1973).…”
Section: Methodsunclassified
“…Standardization is necessary if we are analysing variables that are measured in different units, for example quantitative environmental variables such as pH, mass fraction of organic matter or ion concentrations. Noy Meir et al (1975) fully discuss the virtues and vices of various data transformations in PCA.…”
Section: Data Transformationmentioning
confidence: 99%