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Lexis fields

Author

Listed:
  • Tim Riffe

    (Euskal Herriko Unibertsitatea (University of the Basque Country))

  • Jose Manuel Aburto

    (London School of Hygiene and Tropical Medicine)

Abstract

Background: Lexis surfaces are visualizations designed to show how a given value changes over age and time. Vector fields are two-dimensional representations of two variables: usually direction and speed (or force). Objective: We aim to increase the dimensionality of patterns shown on the Lexis surface by placing a vector field on the Lexis surface. Results: We show Lexis fields of the relationship between life expectancy and the standard deviation of remaining lifespan over age and time. These instruments enable information layering on standard Lexis surfaces that is not common practice. Contribution: Lexis fields extend the descriptive and analytic power of the Lexis surface, and these can be designed to display information at higher densities than standard Lexis surfaces.

Suggested Citation

  • Tim Riffe & Jose Manuel Aburto, 2020. "Lexis fields," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(24), pages 713-726.
    • Handle: RePEc:dem:demres:v:42:y:2020:i:24
    DOI: 10.4054/DemRes.2020.42.24
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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.
    2. 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.
    3. John Wilmoth & Shiro Horiuchi, 1999. "Rectangularization revisited: Variability of age at death within human populations," Demography, Springer;Population Association of America (PAA), vol. 36(4), pages 475-495, November.
    4. Smits, Jeroen & Monden, Christiaan, 2009. "Length of life inequality around the globe," Social Science & Medicine, Elsevier, vol. 68(6), pages 1114-1123, March.
    5. repec:nas:journl:v:115:y:2018:p:11209-11214 is not listed on IDEAS
    6. Jonas Schöley & Frans Willekens, 2017. "Visualizing compositional data on the Lexis surface," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(21), pages 627-658.
    7. Joel E. Cohen & Christina Bohk-Ewald & Roland Rau, 2018. "Gompertz, Makeham, and Siler models explain Taylor's law in human mortality data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(29), pages 773-842.
    8. Enrique Acosta & Alyson van Raalte, 2019. "APC curvature plots: Displaying nonlinear age-period-cohort patterns on Lexis plots," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(42), pages 1205-1234.
    9. Vladimir Canudas-Romo & Robert Schoen, 2005. "Age-specific contributions to changes in the period and cohort life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(3), pages 63-82.
    10. Han Lin Shang, 2019. "Visualizing rate of change: an application to age‐specific fertility rates," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(1), pages 249-262, January.
    11. José Manuel Aburto & Alyson van Raalte, 2018. "Lifespan Dispersion in Times of Life Expectancy Fluctuation: The Case of Central and Eastern Europe," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2071-2096, December.
    12. Michal Engelman & Vladimir Canudas‐Romo & Emily M. Agree, 2010. "The Implications of Increased Survivorship for Mortality Variation in Aging Populations," Population and Development Review, The Population Council, Inc., vol. 36(3), pages 511-539, September.
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    More about this item

    Keywords

    fertility; mortality; data visualization; Lexis diagram;
    All these keywords.

    JEL classification:

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

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