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Geofaceting: aligning small-multiples for regions in a spatially meaningful way

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  • Kashnitsky, Ilya

    (Netherlands Interdisciplinary Demographic Institute)

  • Aburto, Jose Manuel

Abstract

BACKGROUND: Visualizing multiple relevant dimensions while preserving spatial structure and readability is challenging. Here we demonstrate the use of geofaceting to meet this challenge. OBJECTIVE: Using data on young adult mortality in the 32 Mexican states from 1990 to 2015, we demonstrate how aligning small multiples for territorial units, often regions, according to their approximate geographical location--geofaceting--can be used to depict complex multi-dimensional phenomena. RESULTS: Geofaceting reveals the macro-level spatial pattern while preserving the flexibility of visualization technique choice for the small-multiples. Creating geofaceted visualizations gives all the advantages of standard plots in which one can adequately display multiple dimensions of a dataset. CONCLUSIONS: Compared to other ways of small-multiples arrangement, geofaceting improves the speed of regions’ identification and exposes the broad spatial pattern.

Suggested Citation

  • Kashnitsky, Ilya & Aburto, Jose Manuel, 2019. "Geofaceting: aligning small-multiples for regions in a spatially meaningful way," OSF Preprints f49n6, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:f49n6
    DOI: 10.31219/osf.io/f49n6
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    References listed on IDEAS

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    Cited by:

    1. Tim Riffe & Jose Manuel Aburto, 2020. "Lexis fields," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(24), pages 713-726.
    2. Jonas Schöley, 2021. "The centered ternary balance scheme: A technique to visualize surfaces of unbalanced three-part compositions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(19), pages 443-458.
    3. Ilya Kashnitsky & Jose Manuel Aburto, 2019. "Geofaceting: Aligning small-multiples for regions in a spatially meaningful way," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(17), pages 477-490.
    4. Tim Riffe & Nikola Sander & Sebastian Kluesener, 2021. "Editorial to the Special Issue on Demographic Data Visualization: Getting the point across – Reaching the potential of demographic data visualization," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(36), pages 865-878.
    5. Margherita Moretti & Cosmo Strozza, 2022. "Gender and educational inequalities in disability-free life expectancy among older adults living in Italian regions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(29), pages 919-934.

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