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Supplement to Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts
Pisias, Nicklas G.; Murray, Richard W.; Scudder, Rachel P.
doi:10.1594/IEDA/100422
A Previous Version is Available: ECL #250
01/15/2014
We present here annotated MATLAB scripts (and specific guidelines for their use) for Q-mode factor analysis, a constrained least squares multiple linear regression technique, and a total inversion protocol, that are based on the well-known approaches taken by Dymond (1981), Leinen and Pisias (1984), Kyte et al. (1993), and their predecessors. Although these techniques have been used by investigators for the past decades, their application has been neither consistent nor transparent, as their code has remained in-house or in formats not commonly used by many of today's researchers (e.g., FORTRAN). In addition to providing the annotated scripts and instructions for use, we include a sample data set for the user to test their own manipulation of the scripts.
Pisias, Nicklas G.; Murray, Richard W.; Scudder, Rachel P. (2014): Supplement to Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts. Interdisciplinary Earth Data Alliance (IEDA). http://dx.doi.org/10.1594/IEDA/100422. Accessed 17 July 2018.
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Chemistry:Sediment
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multivariate statistical analysis, SedDB
English
Software
Pisias, N. G., R. W. Murray, and R. P. Scudder (2013), Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts, Geochem. Geophys. Geosyst., 14, 4015–4020, doi:10.1002/ggge.20247.
doi:10.1002/ggge.20247
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EarthChem
Columbia University
IEDA
Palisades