Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations. Uses by default the 's2' package for spherical geometry operations on ellipsoidal (long/lat) coordinates.
Maintainer: Edzer Pebesma edzer.pebesma@uni-muenster.de (ORCID)
Other contributors:
Roger Bivand (ORCID) [contributor]
Etienne Racine [contributor]
Michael Sumner [contributor]
Ian Cook [contributor]
Tim Keitt [contributor]
Robin Lovelace [contributor]
Hadley Wickham [contributor]
Jeroen Ooms (ORCID) [contributor]
Kirill Müller [contributor]
Thomas Lin Pedersen [contributor]
Dan Baston [contributor]
Dewey Dunnington (ORCID) [contributor]
Pebesma, E. and Bivand, R. (2023). Spatial Data Science: With Applications in R. Chapman and Hall/CRC. tools:::Rd_expr_doi("10.1201/9780429459016") which is also found freely online at https://r-spatial.org/book/
Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10 (1), 439-446, tools:::Rd_expr_doi("10.32614/RJ-2018-009") (open access)
Useful links: