R packages and other resources for manipulating, analyzing and visualizing spatial and spatial and spatio-temporal data are the following:

R packages

Spatial R packages can be seen at the CRAN Task Views webpage. The Spatial and SpatioTemporal pages list many useful packages including the folowing:

sf: Simple Features for R

terra: Spatial Data Analysis

stars: Spatiotemporal Arrays, Raster and Vector Data Cubes

spdep: Spatial Dependence: Weighting Schemes, Statistics

gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

Books

Geocomputation with R

https://geocompr.robinlovelace.net/

Spatial Data Science with applications in R

https://keen-swartz-3146c4.netlify.app/

Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny

https://www.paulamoraga.com/book-geospatial/

Blogs and other online resources

Spatial Data Science with R

https://rspatial.org/

R Spatial software blogs and ideas

https://r-spatial.org/



If you know other spatial and spatial-temporal references that can be useful to other people, please, share them with us, so that all the community can take advantage of them.

Corrections: If you see mistakes or want to suggest additions or modifications, please create an issue on the source repository or submit a pull request
Reuse: Text and figures are licensed under Creative Commons Attribution CC BY 4.0.