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.
Keywords
- Source Rock
- Independent Component Analysis
- Multivariate Statistic
- Potential Source Rock
- Principal Component Analysis
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2010 Springer-Verlag Berlin Heidelberg
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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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