1 Online readings

Online Readings: (available on CRAN at [[http://cran.us.r-project.org/other-docs.html][(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 [zipped .pdf on CRAN]

Owen, W.J., 2010, The R Guide. Dept. of Mathematics and Computer Science, University of Richmond. [.pdf on CRAN]

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) [.pdf on CRAN]

2 Bookdown and other online books and documents


Peng, R.D., 2016, Exploratory Data Analysis with R, https://bookdown.org/rdpeng/exdata/

Phillips, N.D., 2017, YaRrr — The Pirate’s Guide to R

Irizarry, R.A., 2020, Introduction to Data Science, Data Analysis and Prediction Algorithms with R [https://rafalab.github.io/dsbook/]

Ismay, C., and A.Y. Kim, 2020, Statistical Inference via Data Science [https://moderndive.com/index.html]

Kabacoff, R., 2020, Data Visualization with R [https://rkabacoff.github.io/datavis/]

Healy, K., 2019, Data Visualization, a practical introduction. (Princeton Univ. Press)

3 R programming

Chang, W., 2021, R Graphics Cookbook, 2nd Edition [https://r-graphics.org/]

Ismay, C., 2016, Getting used to R, RStudio, and Markdown [https://bookdown.org/chesterismay/rbasics/]

Peng, R.D., 2020, R Programming for Data Science [https://bookdown.org/rdpeng/rprogdatascience/]

Grolemund, G., 2014, Hands-On Programming with R [https://rstudio-education.github.io/hopr/]

Grolemund, G. and H. Wickham, 2016, R for Data Science, http://r4ds.had.co.nz

4 Geospatial developments in R

Simple features (sf) web site [https://r-spatial.github.io/sf/index.html]

Stars project (stars) web site [http://r-spatial.org/r/2017/11/23/stars1.html]

Lovelace, R., J. Nowosad, and J. Muenchow, 2019, Geocomputation with R

Pebesma, E. and R. Bivand, 2020, Spatial Data Science [https://keen-swartz-3146c4.netlify.com]

Hijmans, R., 2016, Spatial Data Analysis and Modeling with R http://rspatial.org

5 Other references

Cleveland, W.S., 1993, Visualizing Data, Hobart Press, 360 p.

Everitt, B. and T. Hothorn, 2011, An Introduction to Applied Multivariate Analysis with R, Springer, 273 p., availabe as an eBook at UO Libraries.

Wickham, H., 2016, Ggplot2, Elegant Graphics for Data Analysis 2nd Ed., Springer, 266 p. availabe as an eBook at UO Libraries.

Bivand, R.S., E.J. Pebesma and V. Gomez-Rubio (2013) Applied Spatial Data Analysis with R, Springer, 405 p. availabe as an eBook at UO Libraries.

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.

Maindonald, J.H., 2008, Using R for Data Analysis and Graphics, an Introduction (.pdf on CRAN)

6 Web pages

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

R Graph Gallery http://www.r-graph-gallery.com