MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
During the worldwide Sars-COV-2 pandemic, teaching in schools and universities changed fundamentally within a few days. Here are first experiences in teaching and learning with MATLAB. Continue reading “Teaching Data Analysis with MATLAB in COVID-19 Times”
I am pleased to announce a Quaternary Science Reviews virtual special issue on “Time Series Analysis for Earth, Climate and Life Interactions“. The VSI will contain overview articles on the currently used and new methods of time series analysis as well as application examples from the field of earth, climate and life. Interested authors of articles on the topic may contact me via email. Continue reading “QSR Virtual Special Issue on Time Series Analysis for Earth, Climate and Life Interactions”
Shortly after this blog went online, I wrote down a short history of the MRES book. Here is an update, just before the 5th edition is published. The book has become heavy, it has twice the number of pages as the first edition! Continue reading “The Story of the MRES Book, Editions 1–5”
Solution “MATLAB Mobile GPS Paperchase” – Update February 2020
MathWorks has changed the MATLAB Mobile Sensor Logs data type to timetable. The sample data set and the script for evaluating it changes accordingly.
Download the MATLAB script and example file.
The increasing spread of mobile internet devices with built-in accelerometers led to the idea of using them to build up low-cost seismological arrays. This exercises demonstrates how to log, import and display smartphone accelerometer measurements with MATLAB.
The increasing spread of mobile internet devices with built-in accelerometers led to the idea of using them to build up low-cost seismological arrays (Minson et al 2015, Kong et al. 2017). Continue reading “MRES Exercise #12 Smartphone Seismometer”
Unfortunately, the graphical output of the function spectrogram has changed in a way that it can no longer be used by geoscientists. Here is a way around the problem. Continue reading “Change of Behaviour: spectrogram”
The 5th edition of MATLAB Recipes for Earth Sciences now has a book cover and can already be pre-ordered on the publisher’s webpage. The picture on the top is a 3D display of a filtered SRTM elevation data set of the Baringo area in Kenya, showing fault escarpments and lake basins. The function surfl has been used to generate a shaded-relief map with simulated lighting, contour3 to create white elevation contours and the demcmap colormap from the Mapping Toolbox.