Version 4.5 of the Canoco for Windows package brings a new, completely changed version of CanoDraw. The new CanoDraw 4.0, with a standard Windows interface provides easy creation of ordination diagrams, as well as advanced methods for exploration of multivariate data.
Similarly to the original CanoDraw 3.1, CanoDraw for Windows can be easily started by a single click on a button in the Canoco for Windows application. The new CanoDraw uses the concept of projects, which are paralel to Canoco projects and enable you to organise easily the results of multiple analyses and the graphs created from them.
Canodraw 4.0 snapshot.
CanoDraw provides a multitude of methods to vizualize the results of Canoco ordinations. The diagrams that can be created with the CanoDraw for Windows are listed below (some, more specialized types are not listed):
- basic ordination diagrams for samples, species, environmental and supplementary variables. Categorical variables can be displayed by their centroids in these diagrams
- biplots and joint-plots for all the possible combinations of items (samples+species, samples+env. variables, species+env.variables, etc.)
- the triplot diagram of samples, species and environmental variables and/or supplementary variables
- T-value biplots (including optional Van Dobben circles) and regression biplots
- diagrams displaying the amount of fit of species or samples in the ordination space; the fit can be also used as rule for inclusion of species and/or samples into other types of ordination diagrams
- diagrams displaying values of particular environmental variable and/or species in the samples; such diagrams visualize the change of a particular variable across the ordination diagram
- similarly, patterns in diversity or species richness of the samples can be visualized in the ordination diagram
- for all diagrams that display values of a particular variable across the ordination space, (i.e. for attribute plots), you can also plot the fit of a statistical model to the data as contour plots. Three models can be used for this: a generalized linear model - GLM, a loess smoother, or a generalized additive model - GAM
- linear or unimodal response curves of species can be fitted and visualized along each ordination axis or each environmental variable
- samples, species or explanatory variables can be classified into up to 64 classes that are then represented by different types of symbols. Multiple classifications are supported and stored in CanoDraw projects.
CanoDraw supports creation of principal response curves (Van den Brink & Ter Braak, 1998).
Additional information about CanoDraw can be found at www.canodraw.com.
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