sf (version 1.0-20)

sf-package: sf: Simple Features for R

Description

Support for simple feature access, a standardized way to encode and analyze spatial vector data. Binds to 'GDAL' tools:::Rd_expr_doi("10.5281/zenodo.5884351") for reading and writing data, to 'GEOS' tools:::Rd_expr_doi("10.5281/zenodo.11396894") for geometrical operations, and to 'PROJ' tools:::Rd_expr_doi("10.5281/zenodo.5884394") for projection conversions and datum transformations. Uses by default the 's2' package for geometry operations on geodetic (long/lat degree) coordinates.

Author

Maintainer: Edzer Pebesma (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]

References

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)

See Also

Useful links:

• https://r-spatial.github.io/sf/

• https://github.com/r-spatial/sf

• Report bugs at https://github.com/r-spatial/sf/issues