Developing Implicit Uncertainty Visualization Methods Motivated by Theories in Decision Science

Deitrick, Stephanie; Wentz, Elizabeth A.

doi:10.1080/00045608.2015.1012635

Cited by 25 publications

(17 citation statements)

References 68 publications

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“…Projected change and projected average are presented as three separate but connected map displays: the multimodel mean (the center map) and the values two standard deviations above and below the mean (the right and left maps, respectively). This three-map layout was proposed and tested as a possible framework to more effectively communicate model spread and interpretation of uncertainty based on the authors experience and the finding by Kinkeldey et al (2014), Deitrick (2012), Deitrick and Wentz (2015), and Kinkeldey et al (2015).…”

Section: B Design Of the Communication Elements Of The Dssmentioning

confidence: 99%

“…However, these resources have three primary limitations that we find are critical to communicating future climate projections: 1) Single maps are used, which suggests erroneously that a single future climate projection might be appropriately used for decision-making instead of a spread of possible future climates across the downscaled GCMs. While this specific example is focused on climate projections, others have found similar issues in visualizing uncertainty in geospatial data such as Kinkeldey et al (2014), Deitrick (2012), Deitrick and Wentz (2015), and Kinkeldey et al (2015). 2) City-and location-specific values are not easily communicated.…”

Section: Introductionmentioning

confidence: 99%

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Visually Communicating Future Climate in a Web Environment

Davis

Aldridge

Boyles

et al. 2020

Weather, Climate, and Society

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While there is growing demand for use of climate model projections to understand the potential impacts of future climate on resources, there is a lack of effective visuals that convey the range of possible climates across spatial scales and with uncertainties that potential users need to inform their impact assessments and studies. We use usability testing including eye tracking to explore how a group of resource professionals (foresters) interpret and understand a series of graphical representations of future climate change, housed within a web-based decision support system (DSS), that address limitations identified in other tools. We find that a three-map layout effectively communicates the spread of future climate projections spatially, that location-specific information is effectively communicated if depicted both spatially on a map and temporally on a time series plot, and that model error metrics may be useful for communicating uncertainty and in demonstrating the utility of these future climate datasets.

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Section: B Design Of the Communication Elements Of The Dssmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Visually Communicating Future Climate in a Web Environment

Davis

Aldridge

Boyles

et al. 2020

Weather, Climate, and Society

View full text Add to dashboard Cite

show abstract

“…The representation of imperfect information and its effect on decision-making has been cited for several years as a challenge in terms of information visualization and geovisualization (Çöltekin et al, 2017). Proposals regarding its representation are numerous (MacEachren, 1992;MacEachren et al, 2005;Deitrick & Wentz, 2015;Koo et al, 2018) but not all of them seems to be adopted as unanimously as other traditional semiology features.…”

Section: Existing Workmentioning

confidence: 99%

Improving the search for victims in mountain environments with geovisualization and competing hypotheses management

Viry

Villanova-Oliver

Gautier

et al. 2019

Proc. Int. Cartogr. Assoc.

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<p><strong>Abstract.</strong> This article is part of a research program aimed at improving the location of victims in the mountains. The search for victim location is a process involving various elements, few of them falls within the scope of our team such as the modelling of the process of spatial reasoning of the rescuer and the geovisualization of multidimensional and uncertain information for decision-making. After having reviewed the various scientific challenges we propose a prototype of interface. The strengths of our approach are the transformation of location clues into a list of spatial filters, the addition of these filters within a search scenario to create probable location area(s) as well as the simultaneous management of competing search scenarios. We also present the results of user tests, validating the interest of such an approach to objectify the area of probable location of the victim and obtain a more precise area than during the traditional search approach. Finally, we will discuss the improvements underway on the basis of this prototype, in particular how we plan to better account for the uncertainty in the decision-making process and how we plan to allow a future prototype to suggest questions to the rescuer in order to help him/her refine his/her research.</p>

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“…Mishra et al (23)(24)(25) are among the few to have considered the general information needs of decisionmakers in crises. Deitrick and Wentz (26) reflect on the different needs of scientists and decisionmakers in working with geographical uncertainty, recognizing that scientists are interested more in the uncertainties arising from their data, while decisionmakers are more interested in the uncertainties about what their actions may achieve. One question is whether it is better to use qualitative or quantitative expressions of uncertainty.…”

Section: Communicating Risks To Decisionmakersmentioning

confidence: 99%

“…There have been some previous suggestions for displaying uncertainty relating to paths and strengths of plumes in the context of a radiation accident. (39,52,53) These suggestions provided an action focus within the plots, indicating the uncertainty of thresholds above which countermeasures should be implemented: Deitrick and Wentz (26) suggestion that decision making requires attention primarily to what one can or should do. Haywood (39) suggested the plotting of multiple plumes generated by sampling from the probability distributions of the source term and the weather predictions, to show the alternative outcomes from different assumptions in source term strength, release duration, and weather evolution.…”

Section: Communicating Geographical Risk and Uncertaintymentioning

confidence: 99%

Communicating Geographical Risks in Crisis Management: The Need for Research

et al. 2017

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In any crisis, there is a great deal of uncertainty, often geographical uncertainty or, more precisely, spatiotemporal uncertainty. Examples include the spread of contamination from an industrial accident, drifting volcanic ash, and the path of a hurricane. Estimating spatiotemporal probabilities is usually a difficult task, but that is not our primary concern. Rather, we ask how analysts can communicate spatiotemporal uncertainty to those handling the crisis. We comment on the somewhat limited literature on the representation of spatial uncertainty on maps. We note that many cognitive issues arise and that the potential for confusion is high. We note that in the early stages of handling a crisis, the uncertainties involved may be deep, i.e., difficult or impossible to quantify in the time available. In such circumstance, we suggest the idea of presenting multiple scenarios.

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Developing Implicit Uncertainty Visualization Methods Motivated by Theories in Decision Science

Cited by 25 publications

References 68 publications

Visually Communicating Future Climate in a Web Environment

Visually Communicating Future Climate in a Web Environment

Improving the search for victims in mountain environments with geovisualization and competing hypotheses management

Communicating Geographical Risks in Crisis Management: The Need for Research

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