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Züfle, Andreas; Trajcevski, Goce; Pfoser, Dieter; Renz, Matthias; Rice, Matthew T.; Leslie, Timothy; Delamater, Paul; Emrich, Tobias (2017): Handling Uncertainty in Geo-Spatial Data. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 19-22 April 2017, San Diego, CA.
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An inherent challenge arising in any dataset containing information of space and/or time is uncertainty due to various sources of imprecision. Integrating the impact of the uncertainty is a paramount when estimating the reliability (confidence) of any query result from the underlying input data. To deal with uncertainty, solutions have been proposed independently in the geo-science and the data-science research community. This interdisciplinary tutorial bridges the gap between the two communities by providing a comprehensive overview of the different challenges involved in dealing with uncertain geo-spatial data, by surveying solutions from both research communities, and by identifying similarities, synergies and open research problems.