Abstract
Multivariate analysis aims to understand and describe the relationship between an arbitrary number of variables. Earth scientists oft en deal with multivariate data sets, such as microfossil assemblages, geochemical fi ngerprints of volcanic ash layers, or clay mineral contents of sedimentary sequences. If there are complex relationships between the diff erent parameters, univariate statistics ignores the information content of the data. There are, however, a number of methods available for investigating the scaling properties of multivariate data.
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Trauth, M.H. (2010). Multivariate Statistics. In: MATLAB® Recipes for Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12762-5_9
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DOI: https://doi.org/10.1007/978-3-642-12762-5_9
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