Simple Features for R

A package that provides simple features access for R. Package sf:

represents natively in R all 17 simple feature types for all dimensions (XY, XYZ, XYM, XYZM)
uses S3 classes: simple features are data.frame objects (or tibbles) that have a geometry list-column
interfaces to GEOS to support the DE9-IM
interfaces to GDAL with driver dependent dataset or layer creation options, Date and DateTime (POSIXct) columns, and coordinate reference system transformations through PROJ.4
provides fast I/O with GDAL and GEOS using well-known-binary written in C++/Rcpp
directly reads from and writes to spatial databases such as PostGIS using DBI

Blogs, presentations, vignettes, sp-sf wiki

package vignettes: first, second, third, forth, fifth, sixth
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

Installing

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(devtools)
install_github("r-spatial/sf")

OSGeoLive 12

This Ubunto Bionic 18.04 base includes a pre-configured R and sf.
Simple Features core libraries are integrated and available to R.

Windows

Installing sf from source works under windows when Rtools is installed. This downloads the system requirements from rwinlib.

MacOS

One way to install the dependencies is using sudo; the other is using homebrew. For the latter, see e.g. here. Homebrew commands might be:

brew unlink gdal
brew tap osgeo/osgeo4mac && brew tap --repair
brew install proj
brew install geos
brew install udunits
brew install gdal2 --with-armadillo --with-complete --with-libkml --with-unsupported
brew link --force gdal2

after that, you should be able to install sf as a source package.

For MacOS Sierra, see these instruction, using kyngchaos frameworks.

Linux

For Unix-alikes, GDAL (>= 2.0.0), GEOS (>= 3.3.0) and Proj.4 (>= 4.8.0) are required.

Ubuntu

To install the dependencies on Ubuntu, either add ubuntugis-unstable to the package repositories:

sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable
sudo apt-get update
sudo apt-get install libudunits2-dev libgdal-dev libgeos-dev libproj-dev

or install dependencies from source; see e.g. an older travis config file for hints.

Fedora

The following command installs all required dependencies:

sudo dnf install gdal-devel proj-devel proj-epsg proj-nad geos-devel udunits2-devel

Arch

Get gdal, proj and geos from the main repos and udunits from the AUR:

pacman -S gdal proj geos
pacaur/yaourt/whatever -S udunits

Other

To install on Debian, the rocker geospatial Dockerfiles may be helpful. Ubuntu Dockerfiles are found here.

lwgeom

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.

Contributing

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.

Acknowledgment

This project gratefully acknowledges financial support from the