1998
DOI: 10.1007/bf03043944
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Statistical tools for monitoring benthic communities

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Cited by 19 publications
(12 citation statements)
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“…The cosine similarity is a more "qualitative" measure as compared to the Bray-Curtis similarity, which discriminates more "quantitatively" between samples (Pfeifer et al,1998). Overall, the cosine similarity reveals the structural properties of communities more than the Bray-Curtis similarity, which has the major drawback that it separates "similar" samples if the difference is mainly due to multiples in abundance (Pfeifer et al, 1998). For this reason we selected the cosine similarity as a counterpart to the widely used BrayCurtis similarity for our analyses.…”
Section: Discussionmentioning
confidence: 99%
“…The cosine similarity is a more "qualitative" measure as compared to the Bray-Curtis similarity, which discriminates more "quantitatively" between samples (Pfeifer et al,1998). Overall, the cosine similarity reveals the structural properties of communities more than the Bray-Curtis similarity, which has the major drawback that it separates "similar" samples if the difference is mainly due to multiples in abundance (Pfeifer et al, 1998). For this reason we selected the cosine similarity as a counterpart to the widely used BrayCurtis similarity for our analyses.…”
Section: Discussionmentioning
confidence: 99%
“…Although separation of the circles is rather weak in the explorative MDS plots (Fig. This ueeds explanation: According to literature, Cosine similarity reveals the structural properties of simulated communities more clearly than Bray-Curtis dissimilarity, which furthermore has the major drawback of separating similar monitoring units, if the difference is only due to multiples in abundance (PFEIFER et al 1998). With ANOSIM procedure, the latter reveals significant differences between circle pairs A/D and C/D, whilst the former does not.…”
Section: Discussionmentioning
confidence: 89%
“…Similarity analysis was performed using the cosine similarity (Pfeifer et al 1998), which is most adequate for the present data set, because only presence is considered, whereas single or common absence is not taken into account. A nonmetric multidimensional scaling (nMDS), two-dimensional plot was produced to compare station similarities based on species composition.…”
Section: Statistical Data Analysismentioning
confidence: 99%