A list of useful resources for getting started with spatial data in R. Feel free to contribute through a pull request or issue!
For those interested in further tutorials or resources for spatial data analysis and R more generally, please refer to:
- The R for DataScience book
- Rstudio Cheatsheets!
- the Tidyverse website/blog for the latest news from the tidyverse
- Fundamentals of Data Visualization by Claus O. Wilke
- Jamie Afflerbach's Spatial Analysis in R tutorials and repo
- Matt Strimas-Mackey's blog for hands-on examples using new rspatial packages (e.g., sf and smoothr)
- Jesse Sadler's blog for applications of sf and sp
- the upcoming textbook Geocomputation with R
- the vignettes of the
sf
package - the r-spatial blog & website for the latest news from the r-spatial community
- Applied Spatial Data Analysis with R (textbook on spatial data analysis)
- CRAN Task View: Analysis of Spatial Data
- Movement Ecology in R workshop given at Hong Kong University in January 2018, is a brief overview walking students from R basics through home range analysis, analyzing GPS movement data, to spatial simulation in R.
- Introduction to Kriging in R
- Interpolation in R-spatial
- GeoStats: Kriging in R
- SpatioTemporal Kriging in R
- ColorBrewer site and R package
- Wes Anderson R package GitHub page
- Comprehensive list of color palettes available in R
- Viridis palettes
- Beautiful thematic maps with ggplot2 (only) by Timo Grossenbacher (blog post)
- Making a beautiful map of Spain in ggplot2 by Manuel Garrido (blog post)