1993
DOI: 10.1016/0031-0182(93)90084-v
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Multivariate data analysis in palaeoecology and palaeobiogeography—a review

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Cited by 280 publications
(169 citation statements)
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“…Discussion Analyzing Biogeographic Structure. Quantitative studies of community similarity and biogeographic structure frequently make use of a combination of similarity or distance metrics and cluster analyses (10,11). A wide range of similarity and distance metrics have been proposed, which use differing definitions of similarity and make various assumptions about issues such as the weighting of joint occurrences or mismatches.…”
Section: Figurementioning
confidence: 99%
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“…Discussion Analyzing Biogeographic Structure. Quantitative studies of community similarity and biogeographic structure frequently make use of a combination of similarity or distance metrics and cluster analyses (10,11). A wide range of similarity and distance metrics have been proposed, which use differing definitions of similarity and make various assumptions about issues such as the weighting of joint occurrences or mismatches.…”
Section: Figurementioning
confidence: 99%
“…conflicting dendrograms, each based on different assumptions and emphasizing various aspects of faunal similarity (10).…”
Section: Figurementioning
confidence: 99%
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“…Therefore, a multitude of coefficients is available. Several comparative reviews have tested features and performance of (dis)similarity and distance coefficients (e.g., Cheetham and Hazel 1969;Janson and Vegelius 1981;Wolda 1981;Hubalek 1982;Shi 1993;Koleff et al 2003a;Clarke et al 2006). Two relatively recent and interesting approaches are worth mentioning.…”
Section: The Different Notions Of Beta Diversitymentioning
confidence: 99%
“…(2) Similarity/Dissimilarity measures can handle binary data as it is typically found in presence/absence data sets. There are a large number of different indices and coefficients available and comparative reviews can be found in Cheetham and Hazel (1969), Hubalek (1982), Janson and Vegelius (1981), Koleff et al, (2003), Shi (1993) and Wolda (1981). All binary similarity/dissimilarity measures are based on the same set of variables.…”
Section: Measuring Similaritymentioning
confidence: 99%