References

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. Rmarkdown: Dynamic Documents for r, 2021.

Cutland, Nigel. Computability: An Introduction to Recursive Function Theory. Cambridge University Press, 1980. https://doi.org/10.1017/CBO9781139171496.

Gandrud, Christopher. Reproducible Research with r and RStudio. Chapman; Hall/CRC, 2018.

Kitchin, Rob. The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. Sage, 2014.

Lin, Mingfeng, Henry C. Lucas, and Galit Shmueli. “Research Commentary: Too Big to Fail: Large Samples and the p-Value Problem.” Information Systems Research 24, no. 4 (2013): 906–17. http://www.jstor.org/stable/24700283.

R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2021. https://www.R-project.org/.

Singleton, Alex David, Seth Spielman, and Chris Brunsdon. “Establishing a Framework for Open Geographic Information Science.” International Journal of Geographical Information Science 30, no. 8 (2016): 1507–21. https://doi.org/10.1080/13658816.2015.1137579.

Singleton, Alex, and Daniel Arribas-Bel. “Geographic Data Science.” Geographical Analysis 53, no. 1 (2021): 61–75. https://doi.org/https://doi.org/10.1111/gean.12194.

Wickham, Hadley. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016. https://ggplot2.tidyverse.org.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. “Welcome to the tidyverse.” Journal of Open Source Software 4, no. 43 (2019): 1686. https://doi.org/10.21105/joss.01686.

Xie, Yihui. Bookdown: Authoring Books and Technical Documents with r Markdown, 2021.

Xie, Yihui, Christophe Dervieux, and Emily Riederer. R Markdown Cookbook. Chapman; Hall/CRC, 2020. https://bookdown.org/yihui/rmarkdown-cookbook/.