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E&G Quaternary Science Journal An open-access journal of the German Quaternary Association
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Sedimentary deposits provide insights into past Earth surface dynamics via the size distribution of mineral grains documenting the erosion, transport and deposition history. This study introduces structured procedures to decipher the distinct grain-size distributions of sediment samples that were mixed during/after deposition, using the free statistical tool EMMAgeo. Compared with other algorithms, EMMAgeo is unique as it provides uncertainty estimates and allows expert knowledge to be included.
EGQSJ | Articles | Volume 68, issue 1
E&G Quaternary Sci. J., 68, 29–46, 2019
https://doi.org/10.5194/egqsj-68-29-2019

Special issue: Connecting disciplines – Quaternary archives and geomorphological...

E&G Quaternary Sci. J., 68, 29–46, 2019
https://doi.org/10.5194/egqsj-68-29-2019

Research article 16 May 2019

Research article | 16 May 2019

Grain-size distribution unmixing using the R package EMMAgeo

Elisabeth Dietze and Michael Dietze

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Cited articles

Aitchison, J.: The statistical analysis of compositional data, Chapham and Hall, London, New York, 1986. 
Bagnold, R. A. and Barndorff-Nielsen, O.: The pattern of natural size distributions, Sedimentology, 27, 199–207, 1980. 
Bartholdy, J., Christiansen, C., and Pedersen, J. B. T.: Comparing spatial grain-size trends inferred from textural parameters using percentile statistical parameters and those based on the log-hyperbolic method, Sedimentary Geology From Particle Size to Sediment Dynamics, 202, 436–452, 2007. 
Bengtsson, H.: R.matlab: Read and Write MAT Files and Call MATLAB from Within R, available at: https://CRAN.R-project.org/package=R.matlab (last access: 10 May 2019), 2018. 
Bernaards, C. A. and Jennrich, R. I.: Gradient Projection Algorithms and Software for Arbitrary Rotation Criteria in Factor Analysis, Educ. Psychol. Meas., 65, 676–696, 2005. 
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Short summary
Sedimentary deposits provide insights into past Earth surface dynamics via the size distribution of mineral grains documenting the erosion, transport and deposition history. This study introduces structured procedures to decipher the distinct grain-size distributions of sediment samples that were mixed during/after deposition, using the free statistical tool EMMAgeo. Compared with other algorithms, EMMAgeo is unique as it provides uncertainty estimates and allows expert knowledge to be included.
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