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#cartography

16 posts13 participants0 posts today
froggfish

“Where’s Russia on this map?” GeoFort made this population cartogram of 2050: the more people, the bigger the country appears. Suddenly Europe looks tiny next to China, India, and Africa. Which means more math, physics, and AI students in Asia & more innovations from the East. linkedin.com/posts/willemijn-s #cartography #worldpopulation

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Alexander Dunkel

At the #IOER_FDZ, we have been thinking about ways to improve the production of scientific knowledge and contribute solutions to the #reproducibility crisis.

One initiative that we are now sharing with the wider scientific community is #Carto-Lab Docker, a computational environment for the #spatial sciences built on a versioned, reproducible Docker container stack that enables FAIR principles (findable, accessible, interoperable and reusable). @mcnesium and I started developing it seven years ago. Having moved to version v.1.0.0, the software now left its beta phase and became an official research infrastructure component of the IOER-FDZ. (🚀@ Marc!)

It includes pre-configured, environments for #open-source #cartography in #Python and #R, and has been designed to support transparent geospatial data analysis and sound publication practices in science.

Firstly, Carto-Lab Docker bundles existing open-source software together with #Jupyterlab for easy deployment and use, reducing the barriers to good scientific practice and efficiently working in teams. It also encompasses critical training materials, documentation, and best-practice code to facilitate collaborative learning and incremental progress in research.

You can find the documentation at [1]. Users may also be interested in our NFDI4Biodiversity training materials [2], which were authored using Carto-Lab Docker and explain many of the underlying concepts. Developers and administrators can find our public container images in the Quay.io container registry [3]. Contributions and input are warmly welcomed on Github [4].

@ioer

[1]: cartolab.fdz.ioer.info/
[2]: training.fdz.ioer.info/
[3]: quay.io/repository/ioer-fdz/ca
[4]: github.com/ioer-dresden/carto-

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