Articles | Volume 68, issue 1
https://doi.org/10.5194/egqsj-68-29-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/egqsj-68-29-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Grain-size distribution unmixing using the R package EMMAgeo
Alfred Wegener Institute for Polar and Marine Research, Research Unit Potsdam, 14473 Potsdam, Germany
GFZ German Research Centre for Geosciences, Section 3.2 Organic Geochemistry, 14473 Potsdam, Germany
Michael Dietze
GFZ German Research Centre for Geosciences, Section 5.1 Geomorphology, 14473 Potsdam, Germany
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Latest update: 14 Dec 2024
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.
Sedimentary deposits provide insights into past Earth surface dynamics via the size distribution...