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Geoinformation science is the discipline at the interface of computer science and the geosciences. Its task is to provide methods for the acquisition, administration, analysis, and presentation of spatial information. From an application point of view, the research focus of our groups lies on problems of spatial analysis and geovisualization, which refers to the presentation of spatial information with maps or other graphics. From a computer-science perspective, our focus lies on the development of efficient optimization algorithms, geometric algorithms, and machine learning methods. With our algorithmic developments we aim to support domain experts such as spatial planners or cartographers. On the other hand, we also develop solutions to everyday problems (e.g., finding a restaurant based on user-specific preferences) for mass-market systems (e.g., an interactive map on a smartphone).

Algorithms for Geovisualization

Algorithms for map labeling, the visualization of geographical networks, and the generation of variable-scale maps

Vector-Data Processing

Efficient algorithms for aggregating and generalizing spatial data, detecting spatial patterns, and finding relations between different spatial data sets

Urban Analytics

Automatic interpretation and reconstruction of detailed urban structures by means of reasoning approaches and machine learning

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