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Prediction of Geochemical Composition from XRF Core Scanner Data: A New Multivariate Approach Including Automatic Selection of Calibration Samples and Quantification of Uncertainties

  • Weltje G
  • Bloemsma M
  • Tjallingii R
  • et al.
DOI: 10.1007/978-94-017-9849-5_21
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Abstract

A multivariate log-ratio calibration (MLC) model for XRF-core-scanning devices is presented, based on a combination of basic XRF-spectrometry theory and principles of compositional data analysis. The performance of the MLC model is evaluated in comparison with other...

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Weltje, G. J., Bloemsma, M. R., Tjallingii, R., Heslop, D., Röhl, U., & Croudace, I. W. (2015). Prediction of Geochemical Composition from XRF Core Scanner Data: A New Multivariate Approach Including Automatic Selection of Calibration Samples and Quantification of Uncertainties (pp. 507–534). https://doi.org/10.1007/978-94-017-9849-5_21

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