MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
Artificial neural networks (ANNs) have been used for quite some time to identify, for example, flowers in easy-to-use apps on smartphones. They have been, however, the focus of great attention since the introduction of generative artificial intelligence chatbots like OpenAI’s ChatGPT.
Continue reading “An Artificial Neural Network with Backpropagation in 6 Steps”
AI tools are rapidly changing and improving, we repeated the 16 June 2024 experiment about eight months later and got a completely different result, as can be seen in the report from 3 February 2025. Continue reading “Using Scholar AI to Synthetize Scientific Literature, Part 2”
It’s been a while since I wrote about posters. Right now I’m working on an update of the MDRES book and so I had to deal with the topic again. The following text deals with the presentation of posters. Continue reading “Creating Better Scientific Posters, Part 4”
In paleoclimate time series amplitude of spectral peaks usually varies with time. Evolutionary power spectral analysis such as the FFT-based spectrogram and wavelet power spectral analysis helps. These methods, however, require interpolation of the time series to a grid of evenly-spaced times. Instead we can use the Lomb-Scargle Method for unevenly-spaced spectral analysis, computed for a sliding window, to map changes of the cyclicities through time.
Continue reading “Evolutionary Lomb-Scargle Power Spectral Analysis with MATLAB”
Time series of stable isotopes (oxygen, carbon) measured at foraminifers are often very noisy due to the combined effect of low sedimentation rates, intensive bioturbation and small sample sizes (5-20 foraminifers). Adaptive filters may help to increase the signal-to-noise ratio of such time series where conventional methods such as fixed filters cannot be applied if optimal filtering is to be achieved, because the signal-to-noise ratio is unknown and varies with time. Continue reading “Adaptive Filters in Paleoclimatology: Measure it Twice!”
During my 30 years of teaching data analysis courses in earth sciences, I became increasingly aware that teaching troubleshooting is much more important than the actual application of data analysis methods. Continue reading “Teaching Troubleshooting and Problem Solving”
These is the for Python Recipes for Earth Sciences, 2nd Edition (Springer 2024) and MATLAB Recipes for Earth Sciences, 6th Edition (Springer 2024). Continue reading “MRES 6th and PRES 2nd Errata Files”
In an article published in Quaternary Geochronology (Trauth, 2014), I introduced a new method for modeling complex stratigraphic sequences. I would like to explain at this point what the result of the modeling is, and what it is not.
Continue reading “Probabilistic Age Modeling for Complex Stratigraphic Sequences”