The Section 1.5 "Geoinformatics" focuses on research and deveolopment in the following topics:

Big Data Analytics

Big Data is a new field that affects a wide range of scientific disciplines. Its importance can be attributed to several technological advances: a) increasing availability of sensors allows scientists to produce data more easily and more cheaply, b) advances in communication technologies facilitate the massive exchange of data among client devices, data centers, and clouds, and c) the fast reduction in data storage and processing costs provides incredible computational power to users. Our research has two main priorities: 1) to develop efficient and scalable algorithms supporting scientists to uncover hidden patterns in big geo-scientific data and 2) to develop novel Visual Analytics approaches for analysis of complex geo-scientific data.

Information Integration and Synthesis

We develop new methods for the interpretation and assessment of heterogeneous spatio-temporal data sets. Heterogeneous data sets emerge from the combination of information from different sources, such as remote and in-situ sensors, simulations models, and geoarchives. Our methodological field is Geo Visual Analytics. It combines methods of visual data exploration with automated data analysis, with a focus on geoscientific applications.

Knowledge Discovery and Data Mining

With data mining algorithms one aims at the discovery of unknown, novel, and unexpected patterns that assist humans in their daily decision making. However, both the size and the complexity of data sources induce novel challenges and hinder manual data analysis by humans. We develop new concepts for data mining in large and complex geo-scientific data.


Profile photo of  Prof. Dr. Doris Dransch

Prof. Dr. Doris Dransch

Building A 20, room 308
14473 Potsdam
tel. +49 331 288-1535