Articles | Volume 68, issue 1
https://doi.org/10.5194/egqsj-68-29-2019
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

Model code and software

EMMAgeo - R package. V. 0.9.6 E. Dietze and M. Dietze https://doi.org/10.5880/GFZ.4.6.2019.002

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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.