Data Analyses
Surveys and monitoring exercises often generate numerical data which can be visualised and understood through the use of statistical methods. Analyses can range from simple mathematic descriptions of data to more complicated multivariate routines, such as community classification, direct or indirect ordination and regression testing. These techniques, along with a host of other routines for formatting and selecting data, provide powerful insights into the nature of vegetation composition and its relationship to the physical environment. Full interpretation of the results is provided through written summaries, which can be clearly and easily understood by all.

Data Presentation
Modern graphics packages and high quality printing are used to generate outputs which are lucid and informative. Where the data have a strong spatial component, Geographic Information Systems (GIS) are used for interrogation and display of information; making that information easier to assimilate. GIS can also be used to show temporal changes at many locations simultaneously, thus facilitating quick overviews, across a broad area, of patterns which would otherwise be difficult to spot.