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Ecological Community Analysis

 

For more information and a free demo visit our website here.

 

ECOM offers you a range of analytical techniques to discover, visualise and order relationships in multivariate data where the researcher has information on both the species present and the most influential environmental variables. For example, if you have sampled the animals from a series of habitats, and you have data on the environment for each sample, then this program is for you. These methods are used relevant to several fields such as palaeontology, archaeology and the social sciences.

 

The principal methods are:

Canonical Correspondence Analysis (CCA),
Redundancy Analysis (RDA)
Multiple Regression (MR).
Stepwise Regression (SR)

 

A particular feature of ECOM is the graphical output that enables you to quickly visualise the complex relationships within your data set. For example, CCA output includes plots of sample and species ordinations, environmental correlation vectors and biplots of species arranged along individual environmental axes. All aspects of the graphs can be altered, and printed or exported in a wide variety of formats.

Ecom Rank Plot

The program works on two separate input data sets holding the biological and physical data for the samples (sites). The environmental data may be either continuous variables such as pH, temperature or current speed; or binary variables such as soil or treatment type, which are scored as either a 0 or 1.

 

ECOM multiple regression

 

ECOM complements CAP (Community Analysis Package) and Species Diversity and Richness IV (SDR) which offer a range of techniques that only require biological data to undertake the analysis.