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    Evaluating Cartogram Effectiveness

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    Author
    Nusrat, Sabrina
    Alam, Md. Jawaherul
    Kobourov, Stephen
    Affiliation
    Univ Arizona
    Issue Date
    2018-02
    Keywords
    Cartograms
    geo-visualization
    subjective evaluation
    
    Metadata
    Show full item record
    Publisher
    IEEE COMPUTER SOC
    Citation
    S. Nusrat, M. J. Alam and S. Kobourov, "Evaluating Cartogram Effectiveness," in IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 2, pp. 1077-1090, Feb. 1 2018. doi: 10.1109/TVCG.2016.2642109
    Journal
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
    Rights
    Copyright © 2018, IEEE
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Cartograms are maps in which areas of geographic regions, such as countries and states, appear in proportion to some variable of interest, such as population or income. Cartograms are popular visualizations for geo-referenced data that have been used for over a century to illustrate patterns and trends in the world around us. Despite the popularity of cartograms, and the large number of cartogram types, there are few studies evaluating the effectiveness of cartograms in conveying information. Based on a recent task taxonomy for cartograms, we evaluate four major types of cartograms: contiguous, non-contiguous, rectangular, and Dorling cartograms. We first evaluate the effectiveness of these cartogram types by quantitative performance analysis (time and error). Second, we collect qualitative data with an attitude study and by analyzing subjective preferences. Third, we compare the quantitative and qualitative results with the results of a metrics-based cartogram evaluation. Fourth, we analyze the results of our study in the context of cartography, geography, visual perception, and demography. Finally, we consider implications for design and possible improvements.
    ISSN
    1077-2626
    PubMed ID
    28029624
    DOI
    10.1109/TVCG.2016.2642109
    Version
    Final accepted manuscript
    Additional Links
    http://ieeexplore.ieee.org/document/7792176/
    ae974a485f413a2113503eed53cd6c53
    10.1109/TVCG.2016.2642109
    Scopus Count
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    UA Faculty Publications

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