Visualizing spatial data uncertainty using animation

Ehlschlaeger, Charles R.; Shortridge, Ashton; Goodchild, Michael F.

doi:10.1016/s0098-3004(97)00005-8

Cited by 131 publications

(65 citation statements)

References 12 publications

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“…Much of the work has focused on developing typologies of uncertainty that represent various aspects of data and how it might be signified (Buttenfield and Weibel, 1988;Pang et al, 1997;Sanyal et al, 2009;Thomson et al, 2005) and on developing methods to depict uncertainty visually (e.g. Cedilnik and Rheingans, 2000;Ehlschlaeger et al, 1997;Sanyal et al, 2010;Wittenbrink et al, 1996). A comprehensive review of uncertainty typologies is provided by MacEachren et al (2005) and a review of uncertainty visualisation across science by Brodlie et al (2012).…”

Section: Introductionmentioning

confidence: 99%

How to Assess Visual Communication of Uncertainty? A Systematic Review of Geospatial Uncertainty Visualisation User Studies

Kinkeldey

MacEachren

Schiewe

2014

The Cartographic Journal

154

115

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For decades, uncertainty visualisation has attracted attention in disciplines such as cartography and geographic visualisation, scientific visualisation and information visualisation. Most of this research deals with the development of new approaches to depict uncertainty visually; only a small part is concerned with empirical evaluation of such techniques. This systematic review aims to summarize past user studies and describe their characteristics and findings, focusing on the field of geographic visualisation and cartography and thus on displays containing geospatial uncertainty. From a discussion of the main findings, we derive lessons learned and recommendations for future evaluation in the field of uncertainty visualisation. We highlight the importance of user tasks for successful solutions and recommend moving towards task-centered typologies to support systematic evaluation in the field of uncertainty visualisation.

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Section: Introductionmentioning

confidence: 99%

How to Assess Visual Communication of Uncertainty? A Systematic Review of Geospatial Uncertainty Visualisation User Studies

Kinkeldey

MacEachren

Schiewe

2014

The Cartographic Journal

154

115

View full text Add to dashboard Cite

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“…MacEachren [7] suggested the use of hue, saturation, and intensity for representing uncertainty on maps. Ehlschlaeger et al [8] showed how animation could be used to depict uncertainty of elevation data. Hengl and Toomanian [9] showed how color mixing and pixel mixing can be used to visualize uncertainty in soil science applications.…”

Section: Uncertainty Visualizationmentioning

confidence: 99%

Feature-Based Uncertainty Visualization

2014

Innovative Approaches of Data Visualization and Visual Analytics

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While uncertainty in scientific data attracts an increasing research interest in the visualization community, two critical issues remain insufficiently studied: (1) visualizing the impact of the uncertainty of a data set on its features and (2) interactively exploring 3D or large 2D data sets with uncertainties. In this study, a suite of feature-based techniques is developed to address these issues.

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“…While the expected value and variance are two important statistical properties, the pdf datasets contain much more information than just the mean and variance. An example of distribution visualization is provided by Ehlschlaeger, Shortridge & Goodchild (1997). Animations of the different instances of spatial data are used to help the user gain insight to the uncertainty at the different pixels.…”

Section: Related Workmentioning

confidence: 99%