diff --git a/01_course_landing.md b/01_course_landing.md index 4056308dc1..68a43697b0 100644 --- a/01_course_landing.md +++ b/01_course_landing.md @@ -224,7 +224,7 @@ Simulation of dynamic processes 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.

@@ -274,7 +274,7 @@ Media and models are basic scientific elements of geography. They form the basis - +
diff --git a/88_teaching_bol.md b/88_teaching_bol.md index 4a108dc717..8bec2a100a 100644 --- a/88_teaching_bol.md +++ b/88_teaching_bol.md @@ -56,6 +56,8 @@ If this course is to be useful, then you must critically reflect on what I bring ## 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).