Spatial and temporal environmental data sets are both analysed and interpreted.
Data sets can be presented both graphically and statistically.
Summary statistics and linear modelling techniques, such as regression analyses, can be utilised in examining data.
Multivariate analytical techniques include the use of principal components, correspondence, co-inertia, canonical correspondence and fuzzy correspondence analyses.
Spatial environmental data sets can be explored using GIS techniques.