Author: Martin H. Trauth

The popular online course on data analysis in the geosciences will be taught bilingual using the two leading programming languages and development environments MATLAB and Python in parallel on 14–18 September 2026. The course is based on my books MATLAB Recipes for Earth Science (Springer 2025) and Python Recipes for Earth Sciences (Springer 2024).

Continue reading “63rd Online Shortcourse on MATLAB & Python Recipes for Earth Sciences”

Wikipedia, celebrating its 25th birthday, is facing numerous challenges. Christian Schiffer, writing for German Tagesschau.de highlights the dwindling number of contributors, the struggle against AI, and the exploitation of AI chatbots. Additionally, Wikipedia has been inundated with AI-generated content, leading to a decline in reader engagement.  Continue reading “Happy Birthday, Wikipedia. Seriously.”

As in previous years, the Python and MATLAS Recipes for Earth Sciences books are once again in the top 100 at Springer Earth Sciences & Environment. Many thanks to all my readers who still buy the books, some of them in print, even though they are sold by Springer in large bundles to libraries!

Young people—as I was back then—do not really appreciate how quickly their valuable data, painstakingly created graphics, and carefully crafted texts can become unreadable. Here are a few thoughts on this and a recommendation. Continue reading “Sustainability of Geoscientific Information”

Working with quantitative data, which requires sophisticated mathematical and computer-assisted evaluation methods, came very late in the geological sciences, compared to other scientific disciplines. Unfortunately, in many geology courses worldwide university-level mathematics and computational geosciences is not included, as my experience – as the current chair of the examination committee of our geoscience masters program – from processing this year’s masters applications suggests. Continue reading “How to Become a Geoscience Data Analyst”

Detecting, measuring and classifying transitions in climate time series is one of the most important applications in modern time series analysis (Mudelsee, 2000; Trauth et al., 2014, 2025). Three methods are presented here: sigmoid fit, ramp fit and change point detection. Continue reading “Analyzing Climate Transitions with MATLAB”

On April 1, 2022, a satellite was launched as part of the German Environmental Mapping and Analysis Program (EnMAP) to collect hyperspectral data, which can be obtained free of charge. Here is a MATLAB script to import and display the data and display the spectra of single pixels selected from an EnMAP image.

Continue reading “Displaying Single Pixel Spectra from EnMAP Hyperspectral Images with MATLAB”

On April 1, 2022, a satellite was launched as part of the German Environmental Mapping and Analysis Program (EnMAP) to collect hyperspectral data, which can be obtained free of charge. Here is a MATLAB script to import and display the data and display the spectra of single pixels selected from an EnMAP image.

Continue reading “Displaying Flatfield Spectra from EnMAP Hyperspectral Images with MATLAB”