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Mahanalobis distances measure distance in multivariate space taking into account correlations among traits and are independent of the scale of the traits (Legendre and Legendre, 1998).
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In other words, we aimed to find in multivariate space whether the patterns of composition were indeed similar across languages.
The fossil assemblage is then ordinated within the multivariate space of the modern database and climate interpretations are developed from climate vector scores.
The closest reference observation in a multivariate space defined by LiDAR metrics is its nearest neighbor.
The three genera clearly differed from each other in multivariate space.
Here, we develop three new metrics that can be used to identify outliers in multivariate space, while making no strong assumptions about the distribution of the data.
Mahalanobis distance is a measure of distance relative to the variation in each direction of the multivariate space [48].
The NMS scores therefore served as an index of human population density in multivariate space for both ordinations.
We obtained a multivariate space where the three subgroups presented a clear differential grouping.
Indices I1 to I4 use multivariate space to estimate niche breadth and relative position.
Thus it is more efficient than aggregating over the whole multivariate space.
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