2009
DOI: 10.1111/j.1654-1103.2009.01062.x
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Modified TWINSPAN classification in which the hierarchy respects cluster heterogeneity

Abstract: Aim: To propose a modification of the TWINSPAN algorithm that enables production of divisive classifications that better respect the structure of the data. Methods: The proposed modification combines the classical TWINSPAN algorithm with analysis of heterogeneity of the clusters prior to each division. Four different heterogeneity measures are involved: Whittaker's beta, total inertia, average Sørensen dissimilarity and average Jaccard dissimilarity. Their performance was evaluated using empirical vegetation… Show more

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Cited by 289 publications
(202 citation statements)
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“…The minimum group size was set at 3 and the threshold levels of cover were set at 0%, 5% and 50%. Whittaker's beta diversity index (Whittaker 1972) was used for the analysis of heterogeneity of groups, as it provides balanced classifications, respecting group size and heterogeneity, but also because of its robustness (Roleček et al 2009). The phi coefficient of association was calculated after standardizing the size of the groups according to Tichý & Chytrý (2006) to compile the lists of diagnostic species for each relevé group derived from the TWINSPAN analysis.…”
Section: Resultsmentioning
confidence: 99%
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“…The minimum group size was set at 3 and the threshold levels of cover were set at 0%, 5% and 50%. Whittaker's beta diversity index (Whittaker 1972) was used for the analysis of heterogeneity of groups, as it provides balanced classifications, respecting group size and heterogeneity, but also because of its robustness (Roleček et al 2009). The phi coefficient of association was calculated after standardizing the size of the groups according to Tichý & Chytrý (2006) to compile the lists of diagnostic species for each relevé group derived from the TWINSPAN analysis.…”
Section: Resultsmentioning
confidence: 99%
“…For a floristic classification of the relevés stored in SWEA-Dataveg, a vegetation matrix including the original cover values was exported into the Juice software (Tichý 2002) to use the modified TWIN-SPAN algorithm (Roleček et al 2009). The minimum group size was set at 3 and the threshold levels of cover were set at 0%, 5% and 50%.…”
Section: Resultsmentioning
confidence: 99%
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“…The vegetation data was captured in TurboVeg (Hennekens & Schaminée 2001) and exported to Juice (Tichý 2002). In order to avoid observer bias, species which were likely to be confused during field surveys (e.g.…”
Section: Data Processingmentioning
confidence: 99%
“…All relevés were stored in a database using the JUICE program [78]. A TWlNSPAN analysis [79] was used to perform the preliminary classification of communities. As relevés data showed a clear unimodal response, allowing us to use a Detrended Correspondence Analysis (DCA) with the floristic data set (presenceabsence data, no downweighting of rare species) to check the floristic-sociological classification and to show the relationships between the groups.…”
Section: Data and Analysesmentioning
confidence: 99%