High-speed visual estimation using preattentive processing
ACM Transactions on Computer-Human Interaction (TOCHI)
Visualizing spatial data uncertainty using animation
Computers & Geosciences - Special issue on exploratory cartographic visualization
Modelling and visualizing multiple spatial uncertainties
Computers & Geosciences - Special issue on exploratory cartographic visualization
Dynamic display of spatial data-reliability: does it benefit the map user?
Computers & Geosciences - Special issue on exploratory cartographic visualization
Procedural annotation of uncertain information
Proceedings of the conference on Visualization '00
FLUVSIM: a program for object-based stochastic modeling of fluvial depositional systems
Computers & Geosciences
Visualization of an Imperfect World
IEEE Computer Graphics and Applications
Harnessing Natural Textures for Multivariate Visualization
IEEE Computer Graphics and Applications
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
A Next Step: Visualizing Errors and Uncertainty
IEEE Computer Graphics and Applications
Human Factors in Visualization Research
IEEE Transactions on Visualization and Computer Graphics
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Point-Based Probabilistic Surfaces to Show Surface Uncertainty
IEEE Transactions on Visualization and Computer Graphics
Semiology of graphics
Revealing uncertainty for information visualization
AVI '08 Proceedings of the working conference on Advanced visual interfaces
A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets
IEEE Transactions on Visualization and Computer Graphics
Volume rendering data with uncertainty information
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
Procedural Texture Synthesis for Zoom-Independent Visualization of Multivariate Data
Computer Graphics Forum
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3D geological models commonly built to manage natural resources are much affected by uncertainty because most of the subsurface is inaccessible to direct observation. Appropriate ways to intuitively visualize uncertainties are therefore critical to draw appropriate decisions. However, empirical assessments of uncertainty visualization for decision making are currently limited to 2D map data, while most geological entities are either surfaces embedded in a 3D space or volumes. This paper first reviews a typical example of decision making under uncertainty, where uncertainty visualization methods can actually make a difference. This issue is illustrated on a real Middle East oil and gas reservoir, looking for the optimal location of a new appraisal well. In a second step, we propose a user study that goes beyond traditional 2D map data, using 2.5D pressure data for the purposes of well design. Our experiments study the quality of adjacent versus coincident representations of spatial uncertainty as compared to the presentation of data without uncertainty; the representations' quality is assessed in terms of decision accuracy. Our study was conducted within a group of 123 graduate students specialized in geology.