Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know

Authors: MacEachren, Alan M.; Robinson, Anthony; Hopper, Susan; Gardner, Steven; Murray, Robert; Gahegan, Mark; Hetzler, Elisabeth

Source: Cartography and Geographic Information Science, Volume 32, Number 3, July 2005 , pp. 139-160(22)

Publisher: Cartography and Geographic Information Society

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Abstract:

Developing reliable methods for representing and managing information uncertainty remains a persistent and relevant challenge to GIScience. Information uncertainty is an intricate idea, and recent examinations of this concept have generated many perspectives on its representation and visualization, with perspectives emerging from a wide range of disciplines and application contexts. In this paper, we review and assess progress toward visual tools and methods to help analysts manage and understand information uncertainty. Specifically, we report on efforts to conceptualize uncertainty, decision making with uncertainty, frameworks for representing uncertainty, visual representation and user control of displays of information uncertainty, and evaluative efforts to assess the use and usability of visual displays of uncertainty. We conclude by identifying seven key research challenges in visualizing information uncertainty, particularly as it applies to decision making and analysis.

Keywords: UNCERTAINTY; GEOVISUALIZATION; REPRESENTATION; DECISION MAKING; USABILITY

Document Type: Research article

DOI: http://dx.doi.org/10.1559/1523040054738936

Publication date: 2005-07-01

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Cartography and Geographic Information Science (CaGIS) is the official publication of the Cartography and Geographic Information Society. CaGIS supports research, education, and practices that improve the understanding, creation, analysis, and use of maps and geographic information. The society serves as a forum for the exchange of original concepts, techniques, approaches, and experiences by those who design, implement, and use geospatial technologies through the publication of authoritative articles and international papers. The role of the CaGIS journal is to facilitate these objectives by disseminating results and reports in these areas of interest.

Cartography and Geographic Information Science (CaGIS) is now being published by Taylor & Francis as of 2013. Please visit the Journal's website at www.tandfonline.com/tcag or contact subscriptions@tandf.co.uk to subscribe and obtain online access.
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Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know

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