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Published online by Cambridge University Press: 06 March 2019
Multielement data as they are obtained from energy-dispersive x-ray spectrometry can only be interpreted efficiently if multivariate statistical techniques are employed. It is shown that these and pattern recognition techniques can easily be implemented on the dedicated mini-computer system that is usually supplied with the spectrometer. These algorithms are helpful in interpreting multielement data and in gaining insight in and understanding of those aspects of the data structure that are inherent to the data. Such a program was tested using ground water data. Further extensions of the concept of integrated data interpretation are discussed.