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R for Transport Studies: Get up to speed with R for transport applications

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R for spatial transport data science

The repo provides a home for teaching material on handling spatial transport data in R.

To ask questions about the content, sign-up to GitHub and open an issue on the issue tracker at https://github.com/ITSLeeds/R4TS/issues

The course will use content from a range of sources, including:

  • stplanr: A package for transport planning(Lovelace and Ellison 2018)
  • R for data science (Grolemund and Wickham 2016)
  • For an overview of spatial transport data types, see Chapter 12 of Geocomputation with R (Lovelace, Nowosad, and Meunchow 2019): http://geocompr.robinlovelace.net/transport.html

References

Grolemund, Garrett, and Hadley Wickham. 2016. R for Data Science. O’Reilly Media.

Lovelace, Robin, and Richard Ellison. 2018. “Stplanr: A Package for Transport Planning.” The R Journal 10 (2): 7–23. https://doi.org/10.32614/RJ-2018-053.

Lovelace, Robin, Jakub Nowosad, and Jannes Meunchow. 2019. Geocomputation with R. CRC Press. http://robinlovelace.net/geocompr.

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