Journal Article10.14714/CP13.1000
Visualizing uncertain information
389
TL;DR: The difference between data quality and uncertainty, the application of Berlin's graphic variables to the representation of uncertainty, conceptual models of spatial uncertainty as they relate to kinds of cartographic symbolization, and categories of user interfaces suited to presenting data and uncertainty about that data are addressed.
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Abstract: When a GIS is used to drive map-based visualization, exploration of potential relationships takes precedence over presentation of facts. In these early stages of scientific analysis or policy formulation, providing a way for analysts to assess uncertainty in the data they are exploring is critical to the perspectives they form and the approaches they decide to pursue. As a basis from which to develop methods for visualizing uncertain information, this paper addresses the difference between data quality and uncertainty, the application of Berlin's graphic variables to the representation of uncertainty, conceptual models of spatial uncertainty as they relate to kinds of cartographic symbolization, and categories of user interfaces suited to presenting data and uncertainty about that data. Also touched on is the issue of how we might evaluate our attempts to depict uncertain information on maps.
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Citations
Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know
Alan M. MacEachren,Anthony C. Robinson,Susan Hopper,Steven Gardner,Robert K. Murray,Mark Gahegan,Elisabeth Hetzler +6 more
TL;DR: Progress toward visual tools and methods to help analysts manage and understand information uncertainty are reviewed and progress toward frameworks for representing uncertainty, visual representation and user control of displays of information uncertainty is assessed.
Exploratory cartographic visualization: advancing the agenda
TL;DR: It is argued that a use-based approach is needed in order to develop information processing environments appropriate to distinct stages of scientific research and decision making.
431
The Role of Uncertainty, Awareness, and Trust in Visual Analytics
TL;DR: This paper unpacks the uncertainties that propagate through visual analytics systems, illustrates how human's perceptual and cognitive biases influence the user's awareness of such uncertainties, and how this affects the users' trust building.
Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty
TL;DR: In order to explore new uncertainty visualization methods, the Weather Research and Forecasting (WRF) model was used to create a 48-hour, 18 member parameterization ensemble of the 13 March 1993 "Superstorm", and a tool was designed to interactively explore the ensemble uncertainty of three important weather variables.
303
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error
Michael Correll,Michael Gleicher +1 more
TL;DR: It is confirmed that the encoding of mean and error significantly changes how viewers make decisions about uncertain data, and the use of gradient plots and violin plots are suggested as better alternatives for inferential tasks than bar charts with error bars.
References
•Book
Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
Millett Granger Morgan,Max Henrion +1 more
- 01 Jan 1990
TL;DR: In this paper, the authors present a software tool for uncertainty analysis, called Analytica, for quantitative policy analysis, which can be used to perform probability assessment and propagation and analysis of uncertainty.
3.2K
Authoring Graphic Scripts: Experiences and Principles
Mark Monmonier
- 01 Jan 1992
TL;DR: Two prototype graphic scripts illustrate a variety of design principles useful in composing narrative sequences of dynamic maps, statistical graphics, and text blocks, and use complementary measurements to explore spatial-temporal change in a single variable.
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