logo by Zane Dax
terra is an R package for spatial data analysis. There are tutorials at rspatial.org/terra.
stackoverflow is the best place to ask questions if you get stuck. Make sure to include a simple reproducible example. But if you think you have found a bug, please file an issue.
terra replaces the raster package. The interfaces of terra and raster are similar, but terra is simpler, faster and can do more.
terra is available from CRAN, so you can use install.packages("terra") to get the current released version.
The easiest way to use the development version on Windows or MacOS, is to install it from the R-universe, like this:
install.packages('terra', repos='https://rspatial.r-universe.dev')
To install from source-code, first install the packages that terra depends on:
install.packages(c("raster", "Rcpp"))
And then continue based on the OS you are using.
On Windows, you need to first install Rtools to get a C++ compiler that R can use.
Then, in R, install the package.
Sys.setenv("R_REMOTES_NO_ERRORS_FROM_WARNINGS" = "true")
remotes::install_github("rspatial/terra")
On OSX, first install gdal and proj with homebrew
brew install pkg-config
brew install gdal
Followed by
Sys.setenv("R_REMOTES_NO_ERRORS_FROM_WARNINGS" = "true")
remotes::install_github("rspatial/terra")
This should work on Catalina and Big Sur
C++11, GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>= 4.9.3), sqlite3 are required, but more recent versions highly recommended.
To install these system requirements on Ubuntu 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.