A package that provides simple features access for R. Package sf:
- represents simple features as records in a
data.frame
ortibble
with a geometry list-column - represents natively in R all 17 simple feature types for all dimensions (XY, XYZ, XYM, XYZM)
- interfaces to GEOS for geometrical operations on projected coordinates, and to s2geometry for geometrical operations on ellipsoidal coordinates
- interfaces to GDAL, supporting all driver options,
Date
andPOSIXct
and list-columns - interfaces to PRØJ for coordinate reference system conversion and transformation
- uses well-known-binary serialisations written in C++/Rcpp for fast I/O with GDAL and GEOS
- reads from and writes to spatial databases such as PostGIS using DBI
- is extended by lwgeom for selected liblwgeom/PostGIS functions
- is extended by stars for raster data, and raster or vector data cubes (spatial time series)
(Illustration (c) by Allison Horst)
- an open access R Journal article summarizes the package
- package vignettes: first, second, third, fourth, fifth, sixth, seventh
- blog posts: first, second, third, fourth
- the original R Consortium ISC proposal, the R Consortium blog post
- presentations: rstudio::conf 2018 (video), UseR! 2016
- wiki page describing sp-sf migration
Install either from CRAN with:
install.packages("sf")
This will install binary packages on Windows and MacOS, unless you configured R such that it tries to install source packages; in that case, see below.
Install development versions from GitHub with:
library(remotes)
install_github("r-spatial/sf")
Installing sf from source works under Windows when Rtools is installed. This downloads the system requirements from rwinlib.
MacOS users are strongly encouraged to install the sf
binary packages from CRAN, unless they are familiar with compilers, linking, C++ source code, and homebrew.
The easiest way to install gdal
is using Homebrew. Recent versions of Homebrew include a full-featured up-to-date gdal formula, which installs proj
and gdal
at the same time:
brew install pkg-config
brew install gdal
Once gdal is installed, you will be able to install sf
package from source in R. With the current version of proj
(7.0.0
) on homebrew, installation requires additional configuration:
install.packages("sf", configure.args = "--with-proj-lib=/usr/local/lib/")
Or the development version:
library(remotes)
install_github("r-spatial/sf", configure.args = "--with-proj-lib=/usr/local/lib/")
If you are using sf
and rgdal
together, it is necessary to install rgdal
from source using this configuration:
install.packages("rgdal", configure.args = c("--with-proj-lib=/usr/local/lib/", "--with-proj-include=/usr/local/include/"))
Alternatively, these instructions explain how to install gdal using kyngchaos frameworks.
For Mac OS 11 Big Sur source install instruction, see here
For Unix-alikes, GDAL (>= 2.0.1), GEOS (>= 3.4.0) and Proj.4 (>= 4.8.0) are required.
Dependencies for recent versions of Ubuntu (18.04 and later) are available in the official repositories; you can install them with:
apt-get -y update && apt-get install -y libudunits2-dev libgdal-dev libgeos-dev libproj-dev
However, to get more up-to-date versions of dependencies such as GDAL, we recommend adding the ubuntugis-unstable PPA to the package repositories and installing them as follows:
sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable
sudo apt-get update
sudo apt-get install libudunits2-dev libgdal-dev libgeos-dev libproj-dev
Adding this PPA is required for installing sf
on older versions of Ubuntu (e.g. Xenial).
Another option, for advanced users, is to install dependencies from source; see e.g. an older Travis config file for hints.
The following command installs all required dependencies:
sudo dnf install gdal-devel proj-devel geos-devel sqlite-devel udunits2-devel
Get gdal, proj and geos from the main repos, and udunits from the AUR:
pacman -S gdal proj geos
yay/pacaur/yaourt/whatever -S udunits
To install on Debian, the rocker geospatial Dockerfiles may be helpful. Ubuntu Dockerfiles are found here.
If you use dynamic linking (installation from source) and have multiple versions of these libraries installed (e.g. one from ubuntugis-unstable, another installed from source in /usr/local/lib
) then this will in general not work, even when setting LD_LIBRARY_PATH
manually. See here for the reason why.
Functions and methods that require liblwgeom
, including st_make_valid
and all spherical or ellipsoidal metrics (area, distances), have since sf 0.5-5 been moved to their own package, lwgeom, which is also on CRAN.
- Contributions of all sorts are most welcome, issues and pull requests are the preferred ways of sharing them.
- When contributing pull requests, please adhere to the package style (in package code use
=
rather than<-
; don't change indentation; tab stops of 4 spaces are preferred) - This project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
This project gratefully acknowledges financial support from the