Handling Uncertainty in Geo-Spatial Data
Andreas E Züfle, Goce Trajcevski, Dieter Pfoser, Matthias Renz, Matthew T. Rice, Timothy F. Leslie, Paul L. Delamater, Tobias Emrich · 2017
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.