After selecting the Canoco project file, two windows open in the Canoco workspace, one is the project view, the other is the log view.
The CCA_BIPL.CON project represents a constrained ordination analysis of the dune meadows data set, described in full detail in Jongman et al. 1995 (Data analysis in community and landscape ecology. Cambridge University Press). The plant community composition is explained, in our project, by four semi-quantitative environmental variables (soil moisture, amount of applied manure, thickness of upper soil horizon, and the type of agricultural use). In addition, the agricultural management is described alternatively as a factor with four levels. The factors are represented in Canoco projects by sets of dummy (nominal) variables, each of the variables in a set corresponding to a particular factor level. Both the semi-quantitative and the nominal variables are used as explanatory variables in our analysis and Canoco program calls such explanatory variables the environmental variables.
You can click the Options... button and then use the Next button (replaced by the Finish button on the last page) to browse through the Project Setup wizard pages defining the analysis options. This project represents a simple constrained ordination (canonical correspondence analysis, CCA) with all environmental variables retained, no covariables present, and no Monte Carlo significance test used.
Then click the Analyze... button to perform the analysis. Note that the Canoco for Windows program asks whether to overwrite an existing solution file (i.e. the file with ordination results). This is because the sample projects directories are installed not only with the project settings and data files, but also with the results of analyses you can obtain. We will redo the analysis to make sure the results are in "sync" with the analysis options. Therefore, select the Yes button to overwrite the solution file with new results.