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R for Geographic Data Science

Reading list

Each week you will be assigned with some reading from the books listed below. In particular, we will be using R for Data Science by Garrett Grolemund and Hadley Wickham and Programming Skills for Data Science by Michael Freeman and Joel Ross for the first two units, and Discovering Statistics Using R by Andy Field, Jeremy Miles and Zoë Field, and Machine Learning with R: Expert techniques for predictive modeling by Brett Lantz for the third and fourth unit. For a sneak peek at how to use R for geographic information analysis, I can suggest An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon and Lex Comber and Geocomputation with R by Robin Lovelace.

Suggested reading

  • R for Data Science by Garrett Grolemund and Hadley Wickham, O’Reilly Media, 2016. See online book.
  • Machine Learning with R: Expert techniques for predictive modeling by Brett Lantz, Packt Publishing, 2019. See book webpage.

Further reading

  • Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R by Michael Freeman and Joel Ross, Addison-Wesley, 2019. See book webpage and repository.
  • The Art of R Programming: A Tour of Statistical Software Design by Norman Matloff, No Starch Press, 2011. See book webpage.
  • Discovering Statistics Using R by Andy Field, Jeremy Miles and Zoë Field, SAGE Publications Ltd, 2012. See book webpage.
  • An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, Springer, 2013. See book webpage.
  • Introduction to Machine Learning with R by Scott V. Burger, O’Reilly Media, 2018. See book webpage.
  • Machine Learning with R, the tidyverse, and mlr by Hefin I. Rhys, Manning Publications, 2020. See book webpage.
  • Deep Learning with R by François Chollet with J. J. Allaire, Manning Publications, 2018. See book webpage.
  • An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon and Lex Comber, Sage, 2015. See book webpage.
  • Geocomputation with R by Robin Lovelace, Jakub Nowosad and Jannes Muenchow. See, CRC Press, 2019. See online book.

by Stefano De Sabbata – text licensed under the CC BY-SA 4.0, contains public sector information licensed under the Open Government Licence v3.0, code licensed under the GNU GPL v3.0.