Journal cover Journal topic
E&G Quaternary Science Journal An open-access journal of the German Quaternary Association
Journal topic
Download
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.
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

Viewed

Total article views: 4,266 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,809 411 46 4,266 187 37 37
  • HTML: 3,809
  • PDF: 411
  • XML: 46
  • Total: 4,266
  • Supplement: 187
  • BibTeX: 37
  • EndNote: 37
Views and downloads (calculated since 16 May 2019)
Cumulative views and downloads (calculated since 16 May 2019)

Viewed (geographical distribution)

Total article views: 3,033 (including HTML, PDF, and XML) Thereof 2,873 with geography defined and 160 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Jan 2021
Publications Copernicus
Download
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.
Citation