This paper outlines the three types of correlation that will characterise m
ost attempts to model land contamination and optimise site assessment strat
egies. The first type of correlation is that which exists between indicator
s of contamination. A potential methodology for handling these correlations
is given. The second type of correlation is the spatial (auto) correlation
between different locations on a site. This has been previously handled th
rough methods such as Kriging interpolation. The possible benefits of integ
rating the analysis of the first two types of correlation are very briefly
discussed. The third type of correlation is that which exists between the i
nformation from site samples. Examples of this type of correlation are give
n.