Cluster analysis comprises of several unsupervised techniques aiming to identify a
subgroup (cluster) structure underlying the observations of a data set. The desired cluster …

Drastic biodiversity declines have raised concerns about the deterioration of ecosystem
functions and have motivated much recent research on the relationship between species …

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical
Ecology and the implementation of this discipline in the R language. After short theoretical …

A new framework for measuring functional diversity (FD) from multiple traits has recently
been proposed. This framework was mostly limited to quantitative traits without missing …

There has been an increasing interest in recent years in using clustering analysis for the
identification of traffic patterns that are representative of traffic conditions in support of …

Background The impact of antibiotic timing on sepsis outcomes remains controversial due to
conflicting results from previous studies. Objectives This study investigated the association …

Abstract Question: Is Rao's quadratic entropy a suitable measure of functional diversity if
several traits are considered? Methods: It is checked whether Rao's quadratic entropy (FDQ) …

Functional diversity is at the heart of current research in the field of conservation biology.
Most of the indices that measure diversity depend on variables that have various statistical …

Summary 1 Experimental studies have provided significant knowledge of how biodiversity
can influence ecosystem processes. However, there is a growing need to relate these …

Aim Understanding the variation in community composition and species abundances (ie, β‐
diversity) is at the heart of community ecology. A common approach to examine β‐diversity …