Welcome to the Geoinformation science lab
In the Geoinformation science lab we focuse on the development and application of spatio-temporal techniques to study the human environment system. In our research projects we address spatio-temporal modeling of regional regional land use change and the human-environment interface in urban areas. We teach different classes on Bachelor and Master level, offering close linkages to research and application fields of Geoinformatics methods.
I Spatio-temporal modeling of land use and land cover change
We study land change processes in on a regional scale using multitemporal remote-sensing derived land-cover data and an integrated dataset of socio-economic as well as environmental data. Our overall aim within the projects is to test and develop different state-of-the-art techniques of spatio-temporal modeling in land system science including cellular automata, Bayesian Belief networks, machine learning and advanced regression analysis.
II Exploring spatial patterns and processes in the human environment system
Urban areas represent the living environment of more than half of the world’s population and are characterized by a heterogeneous set of socio-demographic, economical, and environmental factors. We hence study urban areas as human-environment systems following the concepts of vulnerability and risk, environmental justice, and ecosystem services provision. In order to gain new insights on spatial patterns and underlying processes in urban areas we investigate spatial data analysis techniques in the fields of data integration and data mining, geostatistics, remote-sensing, and time-series analysis.