Short Course during the EGU General Assembly 2019 | Mon, 08 Apr, 08:30–10:15
Before we start
Before we start
Who we are
Elisabeth Dietze is a Post Doc at AWI Potsdam, working on biomarker based fire histories and robust interpretation of sediment proxies.
Michael Dietze is a Post Doc at GFZ Potsdam, working on the seismic signals emitted by Earth surface processes.
Before we start
And who are you?
- Your first task: Introduce yourself to the others
- What is your educational background and career stage?
- Where do you want to apply EMMA?
- What do you expect from this course?
Before we start
Today's schedule
- A kaleidoscope of EMMA applications (5 min)
- Background and constraints (15 min)
- The R package EMMAgeo (10 min)
- Preparation is everything – getting data into R (15 min)
- Modelling your first data set with
EMMAgeo(10 min) - Including uncertainty – a protocol for robust EMMA (20 min)
- The quick way – a compact protocol for robust EMMA (10 min)
- Some thoughts on EMMA implications (10 min)
Before we start
Topics addressed and omitted
- This course focuses on
- application cases of EMMA
- practical experience
- EMMA with the R package EMMAgeo
- You are looking for…
- in depth mathematical foundations?
- in depth insight to R function code?
- other EMMA approaches?
- … not here, please see respective references
Before we start
Topics addressed and omitted
- What you should be already familiar with
- R and RStudio
- Installing and using R packages
- Writing scripts (and functions)
- Structuring code and following good practice rules
Before we start
Topics addressed and omitted
- This course heavily borrows ideas and concepts from
- Dietze E. et al. (2012). Sedimentary Geology 243–244. 169–180.
- Dietze, E. et al. (2014). Climate of the Past 10, 91-106.
- Dietze, E. & Dietze, M. (in revision). Robust grain-size distribution unmixing with the R package EMMAgeo. E&G Quaternary Science Journal.
EMMA what?
A kaleidoscope of applications
EMMA applications
Lake level reconstruction (Dietze et al., 2013)
