SC1.45/CL6.07/GM12.5/HS12.10/SSP5.1/SSS13.36SC1.45/ CL6.07/ GM12.5/ HS12.10/ SSP5.1/ SSS13.36

End-member modelling analysis of grain-size data in R (co-organized) 
Convener: Elisabeth Dietze  | Co-convener: Michael Dietze 
The analysis of grain-size distributions has a long tradition in sedimentology and related disciplines studying Earth surface processes. The decomposition of multimodal grain-size distributions into inherent subpopulations by grain-size end-member modelling analysis (EMMA) allows inferring the underlying sediment sources, transport, depositional and post-depositional processes.

This course aims to introduce the concept of EMMA and it fields of application. It will show and practice the major steps needed to decompose large data sets into robust grain size end-members using the EMMAgeo package in R.