MATLAB and Python Recipes for Earth Sciences
Martin H. Trauth, University of Potsdam, Germany
Following the latest political developments and the involvement of the operator of X (formerly known as Twitter), there is a veritable exodus from X to Bluesky. Please follow me there at @martinhtrauth.bsky.social and please also note the very, very well-put together Bluesky starter pack for Quaternary Scientists, put together by Christine Lane from the University of Cambridge. See you there!
Cluster analysis creates groups of objects that are very similar to one another compared with other individual objects or groups of objects. The aim of the method is to gain insights into the structure of a data set without predefining categories and therefore cluster analysis is a method of unsupervised learning. Continue reading “Cluster Analysis with MATLAB”
More than 30 years ago, I began teaching compact courses on data analysis in the earth sciences. 20 years ago, I started thinking about writing textbooks. Now there are six textbooks and many different course formats for you. Here is an overview of the current options! Continue reading “Online Courses in Modern Data Analysis Methods in Earth Sciences with Python and MATLAB”
Shortly after this blog went online, I wrote down a short history of the MATLAB Recipes for Earth Sciences (MRES) book. Here is an update, just before the 6th edition is published. Continue reading “The Story of the MRES Book, Editions 1–6”
I just published a the 2nd edition of my textbook “Python Recipes for Earth Sciences” with Springer. This is the Python version of the MATLAB textbook “MATLAB Recipes for Earth Sciences” that will appear in its 6th edition later this year.
Continue reading “New Edition of “Python Recipes for Earth Sciences” (Springer 2024)”
Since the Apple iPhone Pro has an infrared LiDAR built in, geoscientists have presented a variety of possible applications. One of the most attractive applications is the scanning of outcrops.
Continue reading “3D Outcrop Scanning Using an Apple iPhone 14 Pro”
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.