Alan M. MacEachren

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When maps are used as visualization tools, 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(More)
Geographically-grounded situational awareness (SA) is critical to crisis management and is essential in many other decision making domains that range from infectious disease monitoring, through regional planning, to political campaigning. Social media are becoming an important information input to support situational assessment (to produce awareness) in all(More)
Designing usable geovisualization tools is an emerging problem in GIScience software development. We are often satisfied that a new method provides an innovative window on our data, but functionality alone is insufficient assurance that a tool is applicable to a problem in situ. As extensions of the static methods they evolved from, geovisualization tools(More)
1Alan M. MacEachren is Professor and Director of the GeoVISTA Center, Department of Geography, 302 Walker, Penn State University, University Park, PA 16802 USA; e-mail: alan@geog.psu.edu and Menno-Jan Kraak is Professor and Head of Division of Geoinformatics, Cartography and Visualization, ITC, PO Box 6, 7500 AA Enschede; e-mail: kraak@itc.nl This special(More)
G. ANDRIENKO{, N. ANDRIENKO*{, P. JANKOWSKI{, D. KEIM§, M.-J. KRAAK", A. MACEACHREN** and S. WROBEL{ {Fraunhofer Institute Intelligent Analysis and Information Systems, Schloss Birlinghoven, D-53754 Sankt Augustin, Germany {Department of Geography, San Diego State University, 5500 Campanile Drive, MC8255, San Diego, CA 92182-8255, USA §Computer Science(More)
This paper presents two linked empirical studies focused on uncertainty visualization. The experiments are framed from two conceptual perspectives. First, a typology of uncertainty is used to delineate kinds of uncertainty matched with space, time, and attribute components of data. Second, concepts from visual semiotics are applied to characterize the kind(More)
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(More)
Information analysts, especially those working in the field of intelligence analysis, must assess not only the information presented to them, but the confidence they have in that information. Visual representations of information are challenged to incorporate a notion of confidence or certainty because the factors that influence the certainty or uncertainty(More)
Crime analysis describes the systematic collection, preparation, interpretation, and dissemination of information about criminal activity to support the mission of law enforcement (Boba 2005). Leading theories on the sociology of crime emphasize the importance of geography (Shaw and McKay 1942; Cohen and Felson 1979; Sampson and Groves 1989), as the(More)