MATLAB and Python Recipes in Earth Sciences

4-8 mars 2024

Anneleen Foubert

Dr. Andres Rüggeberg, UNIFR

Dr Martin Trauth, University of Potsdam (DE)

MATLAB® and Python are used in a wide range of geoscientific applications, such as for image processing in remote sensing, for generating and processing digital elevation models, and for analyzing time series. This 5-days course introduces methods of data analysis in geosciences using MATLAB and Python, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis.

Using the bilingual code in this PhD course will shows an unexpected but extremely positive side effect: Participants get away from a particular software or programming language, and focus instead on the method they want to implement. In addition, solutions often use mixtures of programming languages, exploiting the advantages of each. This is an advantage, also helps a lot to produce sustainable and reproducible code. Furthermore, this approach makes the students fit for a job in academia or industry, where other software tools are used than the ones we use in class. In this online course, Prof. Martin Trauth will share his experiences on data analysis in earth sciences with 2–3 programming languages and with translating a data analysis book from one to another programming language.

Online

1.5

Additional information for course participants:

• EGU 2022 Abstract by M. Trauth
• Course introduction slides of M. Trauth

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