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gisma committed Apr 25, 2024
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4 changes: 2 additions & 2 deletions 01_course_landing.md
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Understanding environmental change and assessing consequences requires spatial information from landscapes. The crucial question is not whether a landscape contains forest, meadow, field, and river, but how they relate to each other spatially. When collecting spatial information in the field, a tradeoff must be made between level of detail, scale, and temporal repetition. Selected processes can either be studied in detail at a very limited number of observation sites or estimated at a generalized scale for a landscape. The constraints loosen when linking local surveys with area-wide remote sensing observations and predicting the locally collected information in space with artificial intelligence methods.
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<li><a href="https://geomoer.github.io/geoAI/"> <p class="notice--danger">German only | Start Course</p></a></li>
<li><a href="https://geomoer.github.io/geoAI/" class="button">Start Course</a></li>
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<a href="https://ogerhub.github.io/aslo/" class="image">
<img src="https://ogerhub.github.io/aslo/images/banneraslo.png" alt="" />
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2 changes: 2 additions & 0 deletions 88_teaching_bol.md
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## References

Ammoneit, R. Reudenbach, C. & Peter, C. (2023). Developing geographic computer modeling competencies in higher education. Journal of Geography in Higher Education, p. 1-23; DOI: 10.1080/03098265.2023.2250991

Ammoneit, R., Reudenbach, C. & Peter, C. (2021): Selbstorganisation von Trampelpfaden im Raum modellierend erfassen – Eine komplexe Aufgabe für Studierende. In: Fögele, J., & N. Raschke (Hrsg.): Die Geographie in der schulischen Praxis stärken. Abstractband zum HGD‐Symposium 2020 in Gießen

Ammoneit, R. Reudenbach, C., Turek, A., Nauß, T. & Peter, C. (2019). Geographische Modellierkompetenz - Modellierung von Raum konzeptualisieren. In: GW-Unterricht. 156, S. 19-29. [online](https://doi.org/10.1553/gw-unterricht156s19).
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