The aim of this module is to receive theoretical and practical knowledge on concepts and methods of spatial modeling of the human environment system. Examples from different research projects in the field of land science and urban studies will be used to learn e.g. geostatistical methods, agent-based and fuzzy logic modeling and machine-learning based approaches. Different tools will be introduced and applied, such as R, Weka, Netlogo. Basis knowledge in GIS and a statistical software are required. The final project work is a paper on the project work.
Students from other departments or exchange students are welcome! Basic knowledge in GIS and a statistical software is required.
Die Veranstaltung wurde 7 mal im Vorlesungsverzeichnis SoSe 2017 gefunden: