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This Section gives an example of the use of ECOM. It is based on the well known Dune Meadow data set used by Jongman et al. (1995).


The objective of the analysis is to determine if there are any gradients in the species data that can be explained by the environmental variables.



The data files are supplied with the ECOM installation.


First open the species abundance file using the Biological File drop-down menu. This file holds the dependent variables and is named Dune_species.csv.


biofile open


Now open the file of environmental variables using the Environmental File drop-down menu. This file holds the independent variables that may influence species abundance and is named Dune_enviro.csv.


We will now take you through the stages of a typical Canonical Correspondence Analysis. The purpose of this analysis is to identify the environmental variables that are most important in moulding the plant community. The stages of this process are described in turn below.


Preliminary inspection and data transformation

Examine and Select Environmental Variables

Interpreting the results