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

Author

Listed:
  • Ilya Kashnitsky

    (Danmarks Statistik)

  • Jose Manuel Aburto

    (London School of Hygiene and Tropical Medicine)

Abstract
Background: Creating visualizations that include multiple dimensions of the data 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. Methods: The idea is to align small-multiples for territorial units, often regions, according to approximate geographical location. We illustrate the technique using data on young adult mortality in the 32 Mexican states from 1990 to 2015. Results: Geofaceting reveals the macro-level spatial pattern while preserving the flexibility of choosing any visualization techniques 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. Contribution: Compared to other ways of small-multiples' arrangement, geofaceting improves the speed of regions' identification and exposes the broad spatial pattern.

Suggested Citation

  • 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.
    • Handle: RePEc:dem:demres:v:41:y:2019:i:17
    DOI: 10.4054/DemRes.2019.41.17
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    References listed on IDEAS

    as
    1. Adrien Remund & Carlo G. Camarda & Tim Riffe, 2018. "A Cause-of-Death Decomposition of Young Adult Excess Mortality," Demography, Springer;Population Association of America (PAA), vol. 55(3), pages 957-978, June.
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    4. 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.
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    Cited by:

    1. 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.
    2. 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.
    3. Tim Riffe & Jose Manuel Aburto, 2020. "Lexis fields," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(24), pages 713-726.
    4. 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.
    5. 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.

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    More about this item

    Keywords

    external causes of death; homicide; small-multiples; geofacet; ternary colorcoding; external mortality;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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