Wimberly, M.C., 2023, Geographic Data Science With R, Visualizing and Analyzing Environmental Change (CRC Press) [https://bookdown.org/mcwimberly/gdswr-book/]
Pebesma, E. and R. Bivand, 2023, Spatial Data Science with Applications in R (CRC Press) [https://r-spatial.org/book/]
Hijmans, R., 2023, Spatial Data Analysis and Modeling with R and “terra” [http://rspatial.org]
Lovelace, R., J. Novosad, and J. Muenchow, 2024, Geocomputation with R and “terra” [https://r.geocompx.org/]
Davis, J., 2024, Introduction to Environmental Data Science [https://bookdown.org/igisc/EnvDataSci/]
Mieno, T, 2023, R as GIS for Economists [https://tmieno2.github.io/R-as-GIS-for-Economists/]
Bryan, J., 2022, Happy Git and GitHub for the useR (HappyGitWithR) [https://happygitwithr.com/index.html]
Healy, K., 2019, Data Visualization, a practical introduction. (Princeton Univ. Press) [https://kjhealy.github.io/socviz/]
Wickham, H., M. Centinkaya-Rundel and G. Grolemund, 2024, R for Data Science (2e), [https://r4ds.hadley.nz/]
Xie, Y., J.J.Allaire, G. Grolemund, 2023, R Markdown: The Definitive Guide (CRC Press) [https://bookdown.org/yihui/rmarkdown/]
Peng, R.D., 2020, Exploratory Data Analysis with R, [https://bookdown.org/rdpeng/exdata/]
Phillips, N.D., 2018, YaRrr — The Pirate’s Guide to R [https://bookdown.org/ndphillips/YaRrr/]
Ismay, C. 2016, Getting used to R, RStudio, and Markdown [https://bookdown.org/chesterismay/rbasics/]
Kabacoff, R., 2024, Data Visualization with R [https://rkabacoff.github.io/datavis/]
Simple features {sf} web site [https://r-spatial.github.io/sf/index.html]
Stars project {stars} web site [http://r-spatial.org/]
Peng, R.D., 2022, R Programming for Data Science [https://bookdown.org/rdpeng/rprogdatascience/]
Gagolewski, M., 2024, Deep R Programming, [https://deepr.gagolewski.com/index.html]
Peng, R.D., S. Kross, and B. Anderson, 2020. Mastering Software Development in R, [https://bookdown.org/rdpeng/RProgDA/]
Xie, Y., J.J.Allaire, G. Grolemund, 2023, R Markdown: The Definitive Guide (CRC Press) [https://bookdown.org/yihui/rmarkdown/]
Xie, Y., C. Devieux, and E. Riederer, 2023, R Markdown Cookbook (CRC Press) [https://bookdown.org/yihui/rmarkdown-cookbook/]
Xie, Y., 2023, bookdown: Authoring Books and Technical Documents with R Markdown [https://bookdown.org/yihui/bookdown/]
Cleveland, W.S., 1993, Visualizing Data, Hobart Press, 360 p.
Bivand, R.S., E.J. Pebesma and V. Gomez-Rubio (2013) Applied Spatial Data Analysis with R, Springer, 405 p.
Rogerson, P.A., 2001, Statistical Methods for Geography, Sage, 236 p.
Fotheringham, A.S., C. Brunsdon, and M. Charlton (2000) Quantitative Geography, Sage, 270 p.
“Classic” online Readings: (available on CRAN at http://cran.us.r-project.org/other-docs.html)
Kuhnert, P. and W. Venebles, 2005, An Introduction to R: Software for Statistical Modelling & Computing. CSIRO Australia (.pdf)
Owen, W.J., 2010, The R Guide. Dept. of Mathematics and Computer Science, University of Richmond. (.pdf)
Rossiter, D.G., 2012, Introduction to the R Project for Statistical Computing for use at ITC. International Institute for Geo-information Science & Earth Observation (ITC)
Maindonald, J.H., 2008, Using R for Data Analysis and Graphics, an Introduction (.pdf)
R Spatial http://rspatial.org/analysis/index.html
R Bloggers https://www.r-bloggers.com
R Weekly https://rweekly.org
r.statistics.co http://r-statistics.co/
Bookdown https://bookdown.org
RStudio Blog https://blog.rstudio.org
Quick R http://www.statmethods.net
Quarto https://quarto.org/
Pandoc https://pandoc.org/index.html
R Graph Gallery http://www.r-graph-gallery.com