21  Grammar of graphics

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Author’s note: This part turns to the data visualisation aspects. It explains how to choose the most appropriate tool to convey a message with particular focus on geographical information.

Some references [1] and [2], as well as some implementations in R [3], Python [4] and Javascript [5].

[1]

L. Wilkinson, The Grammar of Graphics, 2nd ed. Springer-Verlag New York, Inc., 2005.

[2]

H. Wickham, “A layered grammar of graphics,” Journal of Computational and Graphical Statistics, vol. 19, no. 1, pp. 3-28-3-28, 2010, doi: 10.1198/jcgs.2009.07098.

[3]

H. Wickham, D. Navarro, and T. L. Pedersen, Ggplot2: Elegant Graphics for Data Analysis, Third (under work). Springer-Verlag New York, 2022.

[4]

J. VanderPlas et al., “Altair: Interactive statistical visualizations for python,” Journal of Open Source Software, vol. 3, no. 32, p. 1057, 2018, doi: 10.21105/joss.01057.

[5]

A. Satyanarayan, D. Moritz, K. Wongsuphasawat, and J. Heer, “Vega-lite: A grammar of interactive graphics,” IEEE transactions on visualization and computer graphics, vol. 23, no. 1, pp. 341–350, 2017.