Geospatial Reading - I
You’ve probably noticed that our textbook doesn’t have any section on geospatial data. Most exsiting resources on geospatial data in R still cover the older
sp library, including the classic Applied Spatial Data Analysis in R (physical) textbook (by authors of
sp and related packages, who are also authors of
The under-development version of an upcoming textbook, Geocomputation with R, aims to provide a more thorough treatment of the latest iteration on spatial data in R, including the
sf package and tidyverse-style programming. Please take a look over the introduction for background on spatial data analysis we will be exploring in this unit.
I highly recommend browsing the excellent vignettes of the
sfpackage. Vignettes are provided with most well-developed R packages and often provide the best and most up-to-date introduction to the package.
Follow the r-spatial blog & website for the latest news from the r-spatial community. (Speaking of which, you can also follow the Tidyverse website/blog for updates from there.) Most of the package developers involved in these projects are also active in the
#rstatscorner of Twitter.
Charlotte Wickham’s Spatial course on DataCamp, based on older
splibrary https://www.datacamp.com/courses/working-with-geospatial-data-in-r, but still very relevant. The raster side of things is still the same, though the
sfpackage replaces the vector manipulation and mapping functions of
sp, and native
sfis preferable to the older work-arounds of
More from DataCamp
Unrelated to GeoSpatial data, a few instructors with lessons on DataCamp that I would highlight: