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
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:
To install from source-code, first install the Rcpp package that terra depends on:
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. You need a recent version of Rtools42 (rtools42-5355-5357).
Then, in R, install the package.
Sys.setenv("R_REMOTES_NO_ERRORS_FROM_WARNINGS" = "true") remotes::install_github("rspatial/terra")
On macOS, first install gdal with Homebrew
brew install pkg-config brew install gdal
Followed by (note the additional configuration argument needed for Homebrew)
remotes::install_github("rspatial/terra", configure.args = "--with-proj-lib=$(brew --prefix)/lib/")
To install the CRAN version from source you would do
install.packages("terra", type = "source", configure.args = "--with-proj-lib=$(brew --prefix)/lib/")
The easy way to install terra on Ubuntu is with r2u.
The harder way:
Install the system requirements GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>= 4.9.3), sqlite3.
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
sf instructions for installation on other linux systems — and for possible updates/improvements on the above instructions.