Handling Uncertainty in Geo-Spatial Data

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Zufle, Andreas, Trajcevski, Goce, Pfoser, Dieter, Renz, Matthias, Rice, Matthew T., Leslie, Timothy, Delamater, Paul, Emrich, Tobias
Format: Conference Proceeding
Language:English
Subjects:
Data models
Interpolation
Measurement uncertainty
Reliability
Spatial databases
Tutorials
Uncertainty
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2375-026X
DOI:10.1109/ICDE.2017.212