Integrated Spatial Uncertainty Visualization using Off-screen Aggregation (Unknown language)

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Visualization of spatial data uncertainties is crucial to the data understanding and exploration process. Scientific measurements, numerical simulations, and user generated content are error prone sources that gravely influence data reliability. When exploring large spatial datasets, we face two main challenges: data and uncertainty are two different sets which need to be integrated into one visualization, and we often lose the contextual overview when zooming or filtering to see details. In this paper, we present an extrinsic uncertainty visualization as well as an off-screen technique which integrates the uncertainty representation and enables the user to perceive data context and topology in the analysis process. We show the applicability and usefulness of our approach in a use case.

Table of contents conference proceedings

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Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies
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Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media
Chae, Junghoon / Cui, Yuchen / Jang, Yun / Wang, Guizhen / Malik, Abish / Ebert, David S. | 2015
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation
Jäckle, Dominik / Senaratne, Hansi / Buchmüller, Juri / Keim, Daniel A. | 2015
Visual Analytics and Uncertainty: Its Not About the Data
MacEachren, Alan M. | 2015
Visual Analysis of Relations in Attributed Time-Series Data
Steiger, Martin / Bernard, Jürgen / Schader, Philipp / Kohlhammer, Jörn | 2015
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Integrating Predictions in Time Series Model Selection
Bögl, Markus / Aigner, Wolfgang / Filzmoser, Peter / Gschwandtner, Theresia / Lammarsch, Tim / Miksch, Silvia / Rind, Alexander | 2015
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
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