Duration: 2006 - 2015
is an interdisciplinary graduate school at Humboldt-Universität zu Berlin, which combines research questions in the computer sciences with geoscientific questions, such as early warning in the case of an earthquake. In the graduate school, self-organizing wireless sensor nets and information systems are investigated for the application of early earthquake warning. On the one hand, we investigate how novel software development methods can facilitate the reusability and integration of geoscientific simulation models in information systems. On the other hand, we develop automated methods for data visualization on multiple abstraction levels for an enhanced communication of uncertain information.
Reimer, A.: Understanding Chorematic Diagrams: Towards a Taxonomy, The Cartographic Journal, Vol. 47 Nr. 4 pp. 330-350, 2010.
Theisselmann, F.; Dransch, D.; Fischer, J. (2009): Model-driven Development of Environmental Modeling Languages: Language and Model Coupling. - In: Wohlgemuth, V.; Page, B.; Voigt, K. (Eds.), EnviroInfo 2009: Environmental Informatics and Industrial Environmental Protection: Concepts, Methods and Tools, 23rd International Conference on Informatics for Environmental Protection - Volume 1: Conference Sessions ; September 09-11, 2009, Shaker-Verlag, 409-417.
Theisselmann, F.; Dransch, D. (2008): Improving the reusability of spatiotemporal simulation models: using MDE to implement cellular automata. - In: Ruas, A.; Gold, Ch. (Eds.), Headway in Spatial Data Handling: 13th International Symposium on Spatial Data Handling, Springer, 177-195.
Prof. Dr. Doris Dransch