https://github.com/atsyplenkov/djankuat-fingerptinting

Supplementary material to «Elucidating suspended sediment dynamics in a glacierized catchment after an exceptional erosion event: The Djankuat catchment, Caucasus Mountains, Russia» paper

https://github.com/atsyplenkov/djankuat-fingerptinting

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Supplementary material to «Elucidating suspended sediment dynamics in a glacierized catchment after an exceptional erosion event: The Djankuat catchment, Caucasus Mountains, Russia» paper

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  • Host: GitHub
  • Owner: atsyplenkov
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 2.18 MB
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Created over 6 years ago · Last pushed almost 5 years ago
Metadata Files
Readme

README.md

doi

Djankuat river (Caucasus Mountains) sediment source fingerprinting

This repository centralizes the main processing steps to explore sediment dynamics after exceptional erosion event. It is meant to accompany a journal article (Tsyplenkov et al., 2021). This study is part of the ongoing Russian Science Foundation project No. 19-17-00181: «Quantitative assessment of the slope sediment flux and its changes in the Holocene for the Caucasus mountain rivers.»

For a deep introduction to the study, please refer to:

Tsyplenkov, A., Vanmaercke, M., Collins, A.L., Kharchenko, S., Golosov, V., 2021. Elucidating suspended sediment dynamics in a glacierized catchment after an exceptional erosion event: The Djankuat catchment, Caucasus Mountains, Russia. CATENA 203, 105285. https://doi.org/10.1016/j.catena.2021.105285


Full text of the paper is available here.

To replicate main results, follow the instructions in R directory and, of course, feel free to explore in depth the chunks of code or rise an issue, or write me a email.

Follow us on Twitter: @atsyplen, @MatthiasVanmae1.


REPLICATION. HOW TO

  1. Fork this repository or unzip the archive.
  2. Using RStudio open "djankuat-fingerptinting.Rproj" file in the main project directory.
  3. Run the R/00_prepare-r-session.R file.
  4. Now you can run other files in R directory.

LOGIC OF THE PROCESS

The whole process is split into four parts, which is reflected in the structure of R scripts. Every R file is independent and not related to others. For example, if you want to reproduce only fingerprinting results, then run R/04_fingerprinting.R. The names of the scripts are quite indicative, and each script is reasonably commented.

SEE ALSO

Owner

  • Name: Anatolii Tsyplenkov
  • Login: atsyplenkov
  • Kind: user
  • Location: New Zealand
  • Company: @manaakiwhenua

Scientist-Geomorphologist and Research Software Engineer, fond of all things geospatial

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