BigGIS: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper) - researchr publication authors

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Patrick Wiener, Manuel Stein, Daniel Seebacher, Julian Bruns, Matthias Frank 0002, Viliam Simko, Stefan Zander, Jens Nimis. BigGIS: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper). In Siva Ravada, Mohamed Ali, Shawn D. Newsam, Matthias Renz, Goce Trajcevski, editors, Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31 - November 3, 2016. ACM, 2016. [doi]

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