MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
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 16–20 September 2024. The course is based on my books MATLAB Recipes for Earth Science (Springer 2021) and Python Recipes for Earth Sciences (Springer 2022), of which new editions will be published in summer 2024.
Continue reading “59th Online Shortcourse on MATLAB & Python Recipes for Earth Sciences”
Here you find the data and MATLAB code and data of our paper “Combining orbital tuning and direct dating approaches to age-depth model development for Chew Bahir, Ethiopia” published in Quaternary Science Advances.
Since the release of ChatGPT by OpenAI and subsequently numerous other AI-based tools, we as scientists have been both fascinated by the possibilities but also see the risks associated with the use of these tools in research and teaching. In this context, Scholar AI is offered as a tool that helps us to summarise extensive literature on a subject area. Here is the result of an experiment I did this morning.
Continue reading “Using Scholar AI to Synthetize Scientific Literature”
Here is a nice application of the script from MRES to count sand grains in microscopic images. In September 2013 a biologist from the National Museums of Kenya joint us on an expedition to the Suguta Valley in the Northern Kenya Rift. At that time hundreds of thousands of lesser flamingos left the Central Kenia Rift, especially from the Nakuru basin, and went to the Suguta Valley. The biologist started to count the flamingos, while I immediately thought about doing this automatically with a little MATLAB script.
The University of Potsdam offers numerous international degree programmes, in English and without tuition fees, which includes the new international Master’s programm in Geosciences. This week, the university’s information day will take place on 6–7 June 2024. Continue reading “Hello World – Studying Geosciences at the University of Potsdam”
Here you find the FORTRAN77 code and of my paper “TURBO: a dynamic-probabilistic simulation to study the effects of bioturbation on paleoceanographic time series” published in the Elsevier journal Computers & Geosciences. Continue reading “FORTRAN77 Code of “TURBO: a dynamic-probabilistic simulation …” (Trauth, Computers & Geosciences)”
Artificial neural networks (ANNs) are widely used in the geosciences. There are numerous convenient tools in MATLAB and the Deep Learning Toolbox that make it easy to get started, but the examples used in the documentation, tutorials and are usually very complex. Here is a very simple MATLAB example.
Continue reading “An Artificial Neural Network with Backpropagation in 6 Steps”
I received a negative review on Amazon. That’s always a bad thing, whether or not it is justified (see this older example). As Amazon no longer allows a reply, I’m posting it here, because other readers are probably also bothered by the way the first edition of the Python book dealt with missing subchapters and illustrations compared to the MATLAB book. And there is good news, in the second edition we have solved the problem!