rspatial / Terra
Programming Languages
terra
terra
is an R package that replaces raster.
It has a very similar interface, but it is simpler and much faster. The first (beta-) release was on 20 March 2020.
terra
is written in C++. Classes, methods and properties are exposed via a Rcpp module. The R side has two main classes (SpatRaster and SpatVector) that represent spatial data. These classes are used to provide a standard R user-interface. There are tutorials at rspatial.org/terra.
Installation
terra
is available from CRAN, so you can use install.packages("terra")
.
See below for instructions on installing the development version
All OS
First install the packages that terra depends on
install.packages(c("raster", "Rcpp"))
Windows
If you are on Windows, you need to first install Rtools to get a C++ compiler that R can use.
Then, in R, install the package.
remotes::install_github("rspatial/terra")
MacOS
First install gdal and proj with homebrew
brew install pkg-config
brew install gdal
Followed by
remotes::install_github("rspatial/terra")
This should work on Catalina. For other versions, especially for Big Sur, first see the instructions for sf
Linux
The GDAL (>= 3.0.4), GEOS (>= 3.3.0) and PROJ (>= 6.0.0) libraries are required
To install these on Ubuntu version 18.04 (Bionic) you can do:
sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable
sudo apt-get update
sudo apt-get install libgdal-dev libgeos-dev libproj-dev
And now, in R, install the package
remotes::install_github("rspatial/terra")
See the sf
instructions for installation on other linux systems --- and for possible updates/improvements on the above instructions. But note that terra
depends on on more recent versions of GDAL and PROJ libraries