sf-package: sf: Simple Features for R

In r-spatial/sf: Simple Features for R

sf: Simple Features for R

Description

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.

Author(s)

Maintainer: Edzer Pebesma [e-mail] (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. \Sexpr[results=rd]{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, \Sexpr[results=rd]{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

r-spatial/sf documentation built on April 23, 2024, 8:36 a.m.