Course materials for Geocomputing course 2023
Materials are build to Geocomputing course main page.
See MyST-parser and sphinx book theme guide.
:alt: Alt text
:width: 700px
:align: center
Caption here
- Keypoints: important (yellow)
- Objectives/Timing/etc: note (blue)
- Note!: caution (orange)
- info: seealso (green)
- Tasks/Questions/Exercises: tip (green)
Materials are build to Geocomputing course main page upon push to main (via PR).
Local testing can be done by installing Sphinx and some extensions with for example pip:
pip install sphinx sphinx-book-theme myst_parser sphinx-togglebutton colon-fence
Then clone this repository and run
sphinx-build . _build
from within the repository directory.
Note that
_builddirectory should not be part of the github repository.
Please send a pull request, explainaing your changes. The changes should be refelcted in commit messages. If not, please provide a list of "bigger changes" (i.e. no need to report each sentence structure,typo change) and their motivation. For additional lessons it might be good to create an issue first. Please also add yourself to the authors as part of your pull request.
These lesson materials are based on previous geocomputing materials by Kylli Ek, Johannes Hiekkasaari and Eduardo Gonzales.
Some lessons are partly based on other CSC course materials by Maria Lehtivaara, Rasmus Kronberg, Ari-Matti Saren, Atte Sillanpää, Kimmo Mattila, Laxmana Yetukuri, Maria Dimitrova, Xavier Anthony Raj, Jesse Harrison, Sami Ilvonen.
New edits and materials by Samantha Wittke, Kylli Ek. Review by Eetu Huusko, Rasmus Kronberg, Antoni Golos, Katri Tegel, Juha Lento.
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This work is licensed under CC BY 4.0.
Citation info coming soon; with first release.
This work is supported by CSC - IT center for Science and the Open Geospatial Information Infrastructure for Research (Geoportti, urn:nbn:fi:research-infras-2016072513).