The spatial heterogeneity of populations and communities plays a central role in many
ecological theories, for instance the theories of succession, adaptation, maintenance of …

Multivariate analysis provides statistical methods for study of the joint relationships of
variables in data that contain intercorrelations. Because several variables can be …

Beta diversity can be measured in different ways. Among these, the total variance of the
community data table Y can be used as an estimate of beta diversity. We show how the total …

The book describes and discusses the numerical methods which are successfully being
used for analysing ecological data, using a clear and comprehensive approach. These …

This paper examines how to obtain species biplots in unconstrained or constrained
ordination without resorting to the Euclidean distance [used in principal-component analysis …

A method is proposed to partition the variation of species abundance data into independent
components: pure spatial, pure environmental, spatial component of environmental …

Stratigraphically constrained cluster analysis is a multivariate method for quantitative
definition of stratigraphic zones. As opposed to ordinary, unconstrained cluster analysis …

Multivariate statistical methods are described in this study and advice is given on how best
to apply these methods using CANOCO software. Data sets and program files for the case …

Both the magnitude and the urgency of the task of assessing global biodiversity require that
we make the most of what we know through the use of estimation and extrapolation …

Autocorrelation is a very general statistical property of ecological variables observed across
geographic space; it most common forms are patches and gradients. Spatial autocorrelation …