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Visualizing France with Cartograms

In: Advances in Contemporary Statistics and Econometrics

Author

Listed:
  • Jonathan Haughton

    (Suffolk University, Department of Economics)

  • Dominique Haughton

    (Bentley University, Department of Mathematical Sciences
    Université Paris I (SAMM)
    Université Toulouse I (TSE-R))

Abstract

France has a long tradition of using statistical (choropleth) maps, which use shading to represent the spatial distribution of a variable, such as population, by department. Such maps lead the observer to underestimate the importance of urban areas, especially Paris. A solution that complements the choropleth map is to create a cartogram, which deliberately distorts each department so that the area is in proportion to the variable (such as population). Shading can then be used to show a second variable, typically representing density, on the same map. We illustrate the use of cartograms for the case of metropolitan France, with maps that show the spatial distribution of social housing, unemployment, immigration, suicides, election patterns, and the advance of COVID-19. The maps are relatively straightforward to construct, using ArcMap, but attention is needed to the use of colors and classifications. The cartograms reveal patterns that would not be clear based solely on traditional statistical maps.

Suggested Citation

  • Jonathan Haughton & Dominique Haughton, 2021. "Visualizing France with Cartograms," Springer Books, in: Abdelaati Daouia & Anne Ruiz-Gazen (ed.), Advances in Contemporary Statistics and Econometrics, pages 653-668, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-73249-3_33
    DOI: 10.1007/978-3-030-73249-3_33
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