As host of the workshop on Deep Learning with MATLAB at U Potsdam I am looking forward to exciting discussions with MathWorks employee Christoph Stockhammer and 50 participants from different disciplines on 18 September 2019.
Creating Better Scientific Posters, Part 2
In an earlier post I presented a template for a conference poster that had a dark background. The disadvantage of this template is that it uses a lot of printer ink. Here is the version of the same poster for those who prefer a white background.
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Synchronizing Axes of Multiproxy Data
When paleoclimatologists work with multiproxy data, they often have to display many variables in multiple axes, and then to zoom and browse through individual sections of the data series. Here is a MATLAB script that demonstrates how to link axes for zooming and paning. Continue reading “Synchronizing Axes of Multiproxy Data”
Creating Better Scientific Posters, Part 1
Industrial-organizational psychologist Mike Morrison is currently attracting a lot of attention on Twitter (#betterposters) and on YouTube where he suggests to create better science posters. He also provides templates for posters OSF. He basically complains about wall-of-text posters that he finds at conferences and suggests to use most of the poster area to include a colored rectangle with a central statement or conclusion. Here are my thoughts on the better poster movement. Continue reading “Creating Better Scientific Posters, Part 1”
Lecture on Tectonics, Climate and Human Evolution
Tomorrow on 14 August 2019 at 3 pm I will give a lecture on tectonics, climate and human evolution for ~100 school children and teachers at U Potsdam. I am really looking forward to this event!
Inconsistency in Creating Graphics with MATLAB
While updating my book and trying to be as consistent as possible throughout the text and the MATLAB examples I find it quite surprising that the behaviour of graphics function is not consistent in MATLAB.
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Using DATASTORE to Work with Large Collections of Data
The function datastore can be used to handle large collections of data. As an example, the modern multisensor core loggers for the automatic determination of physical and chemical properties of drill cores generates huge amounts of data within a very short time. An array with 80 variables, each with 50,000 measured values, is not unusual. In addition, the corresponding files contain mixtures of character strings for core section names, measurement dates and times, and comments from the laboratory technician who carried out the measurements, along with the actual numeric readings.
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Poster for the EGU General Assembly 2019 in Vienna 7–12 April 2019
On Friday, April 12, 2019, I will present a poster at this year’s EGU General Assembly in Vienna, Austria in the Session SSP1.3 “Integrating stratigraphy, sedimentology, paleontology and paleoclimate in human evolution and dispersal studies – from early hominins to the Holocene“, organized by Verena Foerster and colleagues.
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