Generalisation of heterogeneous topographic data to derive a German Alpine Club Map
Objective:
Description:
We are planning to produce a map of the Ushba Mountain in Georgian at the scale of 1:33’000. It is one of the most notable peaks of the Caucasus Mountains next to the border of Russia. The task of the master's thesis is to process and generalize the topographic data for the chosen scale. The main focus here is on the cartographic representation of the linear features, such as the roads and hiking trails and the water network. OpenStreetMap is the source of the data which should be harmonized with the digital terrain model.
Staff
Dirk Burghardt
Mathias Gröbe
References:
Burghardt, D.; Duchene, C. and Mackaness, W. (Eds.). Abstracting Geographic Information in a Data Rich World - Methodologies and Applications of Map Generalisation. Lecture Notes in Geoinformation and Cartography. Springer. (2014) http://doi.org/10.1007/978-3-319-00203-3
Johannessen, A. (2018). Algorithmen zur automatisiertenGeneralisierung durch Zusammenfassungvon Linienzügen in OpenStreetMap. Diplomarbeit, Hochschule Karlsruhe https://www.geofabrik.de/media/2018-03-02-johannessen-diplomarbeit-gener...
Domain(s):
Study Program(s):
- MSc. Cartography (EXCLUSIVELY externally advertised)