Summary

Several entry points for users looking for help and information our R-spatial exist. Two informal organizations curate the following websites:

• r-spatial with a hyphen - https://www.r-spatial.org/: it is a home of {sf} package
• rspatial without a hyphen - https://www.rspatial.org/: it is a home of {terra} package

Additionally, the https://geocompr.github.io/ website is the main home of the Geocomputation with R book.

Currently, there are many R-spatial resources available online. It includes many books and extended documentation, for example:

• The lidR package
• The tmap book
• Spatial Data Science with applications in R
• Geospatial Data Science With R: Applications in Environmental Geography
• Spatial Modelling for Data Scientists

New updates on R and R-spatial may be found at https://www.r-bloggers.com/ and https://rweekly.org/. Twitter can also be a nice place to share and discuss your work with hashtags #rspatial and #geocompr.

If you need help, you can ask questions on various websites, including:

• https://stackoverflow.com/questions/tagged/r
• https://gis.stackexchange.com/questions/tagged/r
• https://community.rstudio.com/
• https://stat.ethz.ch/mailman/listinfo/r-sig-geo

It is just important to remember that conversion between spatial classes is sometimes crucial!

Finally, we encourage you to contribute something:

• Provide suggestions
• Write bugs reports
• Make improvements to the documentation, e.g., clarifying unclear sentences, fixing typos
• Make changes to the code, e.g., to do things in a more efficient way
• Share your work with #rspatial on Twitter

All of the activities improve not only your work, but also the work of many others.

Good luck!