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Although the multivariate structure of traffic accidents has been recognized in the safety literature for over a decade now, univariate identification and ranking of hotspots is still dominant.
We establish baseline knowledge of abundance, diversity and multivariate structure of macrobenthos from shallow sublitoral soft bottoms in the North Portuguese coast and elucidate main environmental factors that shape their spatial patterns.
In the proposed approach, an M-estimate winsorization method is applied to the transformed data set: this procedure eliminates the effects of outliers in the training data set, while retaining the multivariate structure of the data.
Principal Component Analysis (PCA) was performed to visualize the multivariate structure of the data sets.
To visualise the multivariate structure of the nematode genera assemblages, non-metric multi-dimensional scaling ordination (MDS) was performed based on the same Bray-Curtis similarity matrix as used for ANOSIM.
Indeed, further studies which consider the multilevel and multivariate structure of survival data are worth exploring.
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In addition, the paper presents an alternative approach for quantifying the effect of the multivariate structure on the precision of expected collision frequency.
The effectiveness of secondary vs primary treatments of wastewaters in mitigating the effects of sewage discharge on the multivariate structure and diversity of rocky invertebrate assemblages was assessed over a nine-year period through a beyond-BACI experimental design.
In order to better specify the multivariate structure in the data of the charcoal kiln sites, we conducted a principal component analysis (PCA; cf. Venables and Ripley 2002).
A multivariate structure with pairwise correlations instead of mutual independence allows for a better capture of multipollutant properties.
While the transformation can expose the internal structure of multivariate data sets, it is by no means optimised for class separability.
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