Earth Science data Analysis - Getting it right by keeping it real
Date: 22nd to 24th of February, 2023
Place: Telegrafenberg, House H, Seminar rooms
Lecturers: Prof. Dr. Gert Jan Weltje (KU Leuven), Kai Hartmann (FU Berlin), Anne Bernhardt (FU Berlin), Arne Ramisch (U Innsbruck) and Rik Tjallingii (GFZ Potsdam)
Quantification of analytical data is crucial part of data analysis in Earth sciences, and require a correct mathematical, physical and statistical approach to ensure sound and robust results. Negative chemical concentrations, sediment ages reaching into the future, and conclusions based on intrinsic correlations appear to be an unavoidable byproduct of data analysis in the Earth Sciences. Such impossible predictions arise from inappropriate statistical model generation.
We offer a 3-day course, for all of you who are curious to know how you can avoid these (and many other) common mistakes. Our objective is to offer a simple, logical, and effective recipe for statistical model generation in geochemistry, mineralogy, petrology, geomorphology, paleoenvironmental analyses and paleoclimatology. Armed with this knowledge, you will know how to avoid common statistical pitfalls and be able to generate models that are mathematically and physically meaningful.
Basic mathematical and statistical knowledge at secondary-school level is sufficient to follow the workshop. In the first part, we will introduce the principles of successful statistical model building using simple examples. In the second part, we will present examples and methods to develop more advanced models, that are intended to illustrate the opportunities offered by our approach. In this part, participants can also start developing conceptual models for their own dataset.
The workshop will take place from 22nd to 24th February 2023 in person at GFZ German Research Centre for Geosciences (house H, seminar room). To participate, please send an email to firstname.lastname@example.org, stating:
- Full Name
- Level (undergraduate, PhD or Postdoc)
- Field of research
- Your preferred programming environment (e.g. R, Matlab, Python or Excel)
Please find the detailed programme below.
On behalf of the organizers: Gert Jan Weltje (KU Leuven), Kai Hartmann (FU Berlin), Anne Bernhardt (FU Berlin), Arne Ramisch (U Innsbruck), and Rik Tjallingii (GFZ Potsdam)