05/12/2021

Statistical cartography

Presenter(s): Julien Gaffuri , Eurostat

e-mail(s): julien.gaffuri@ec.europa.eu;

Date: 30 March 2020


Webinar aims

This webinar aims to provide an introduction to cartographic design principles for statistical map design. Methodological elements will be presented with some examples..


Webinar learning outcomes

  • Understand cartographic design principles for statistical maps.

  • Learn the “dos and don’ts” for correct and efficient statistical map making.

  • Become aware of many map design possibilities to better support the visual exploration of statistics and their variation across space


Webinar content

  • Notions of graphic semiology and their relation with statistical mapping

  • Types of statistical maps and examples: Choropleth, bi-variate choropleth, value-by-alpha choropleth, proportional symbols, proportional pie charts and coxcombs, composition stripes, dot density, dasymetric, small multiple, cartograms, flow maps, etc.

  • Classifications

  • The modifiable areal unit problem (MAUP)

  • Notions of colour theory

  • Simplification and generalisation

  • Cartographic projections

  • Interactivity and exploration

  • Map component and layout

  • Examples of Eurostat developments on statistical cartography


Difficulty level

Introductory


Prerequisites for the webinar

Understanding of statistical data


Further reading and resources

–          Bertin, J. (1968). Semiology of Graphics: Diagrams, Networks, Maps, Esri Press books, ISBN: 9781589482616.

–          Field, K. (2018). Cartography: a compendium of design thinking for mapmakers, International Cartographic Association, Esri Press books, ISBN: 9781589484399.

–          Dent, B. D., Torguson, J. S., & Hodler, T. W. (2008). Cartography: Thematic Map Design, 6th Edition. McGraw-Hill.

–          Robinson, A. H., Morrison, J. L., Muehrcke, P. C., Kimerling, A. J., & Guptill, S. C. (1995). Elements of Cartography, 6th ed. New York: John Wiley and Sons.

–          Eurostat-map.js: A web-mapping library for Eurostat statistics: https://github.com/eurostat/eurostat-map.js

–          Gridviz: A web-mapping library for gridded statistics:  https://github.com/eurostat/gridviz

–          ColorBrewer: Color Advice for Maps, https://colorbrewer2.org/


Presentation material

Slides


Recording of the webinar