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A visual tool to explore the composition of international migration flows in the EU countries, 1998–2015

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  • Beata Nowok

    (University of Edinburgh)

Abstract

Background: Ternary plots can effectively display compositional data and help to understand its multidimensional patterns. However, they are currently greatly underused in demography. Objective: My goal is to develop an interactive web-based visualization of compositional data on international migration flows in order to compare its developments over time and across countries, and through this example demonstrate the utility of ternary diagrams. Methods: R Shiny framework is used to build a web application. Immigration and emigration flows in the EU Member States from 1998 to 2015 are grouped into three conventional categories (nationals of a reporting country, [other] EU nationals, and non-EU nationals) and presented on ternary diagrams. Results: Compositional data on migration flows can be effectively visualized using ternary plots. An interactive web application has been developed that allows comparative exploratory analysis of immigration and emigration composition and size in the EU countries over time. The impact of the entry of new countries to the EU can be assessed by comparing data referring to the EU composition of 28 Member States with data referring to the EU composition of the reference period. Conclusions: Ternary plots can facilitate compositional analysis of migration flows grouped into three categories. Contribution: I introduce ternary plots for an exploratory analysis of migration composition and provide an online tool to carry out illustrative exploration. Demographic analysis of compositional data can benefit from the wider use of such plots.

Suggested Citation

  • Beata Nowok, 2020. "A visual tool to explore the composition of international migration flows in the EU countries, 1998–2015," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(27), pages 763-776.
    • Handle: RePEc:dem:demres:v:42:y:2020:i:27
    DOI: 10.4054/DemRes.2020.42.27
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. 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.
    2. Ana Lorena Jiménez-Preciado & Nora Gavira-Durán, 2021. "Social Mobility Patterns in the World's Populated Cities Through COVID-19," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-15, Julio - S.

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    More about this item

    Keywords

    compositional data; international migration; European Union; citizenship; ternary plots; shiny application; data visualization;
    All these keywords.

    JEL classification:

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

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