Multivariate Statistical Evaluation and Interpretation of Soil Pollution Data

2 Multivariate Statistical Evaluation and Interpretation of Soil Pollution Data 

The following two examples [EINAX et al., 1990 KRIEG and EINAX, 1994] demonstrate not only the power, but also the limits of multivariate statistical methods applied to the description of polluted soils loaded with heavy metals from different origins. Case studies with chemometric description of soil pollution by organic compounds are also discussed in the literature. DING et al. [1992], for example, evaluated local sources of chlorobenzene congeners in soil samples by using different methods of multivariate statistical analysis. 

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