How to Install and Uninstall r-cran-sf Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "r-cran-sf" package

This tutorial shows how to install r-cran-sf on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-sf

2. Uninstall "r-cran-sf" package

This guide let you learn how to uninstall r-cran-sf on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-sf $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-sf package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-sf
Architecture: amd64
Version: 0.9-5+dfsg-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 6166
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-classint (>= 0.4-1), r-cran-dbi (>= 0.8), r-cran-magrittr, r-cran-rcpp (>= 0.12.18), r-cran-units (>= 0.6-0), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgdal27 (>= 3.1.0), libgeos-c1v5 (>= 3.8.0), libproj19 (>= 7.1.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat, r-cran-sp (>= 1.2-4), r-cran-lwgeom (>= 0.2-1), r-cran-dplyr (>= 0.8-3), r-cran-tidyr (>= 1.0-0), r-cran-tidyselect (>= 1.0.0), r-cran-rsqlite, r-cran-maps, r-cran-maptools, r-cran-ggplot2, r-cran-raster, r-cran-rpostgresql, r-cran-spatstat, r-cran-rgdal
Suggests: r-cran-blob, r-cran-covr, r-cran-knitr, r-cran-pillar, r-cran-rlang, r-cran-rmarkdown, r-cran-spatstat.utils, r-cran-stars (>= 0.2-0), r-cran-tibble (>= 1.4.1), r-cran-vctrs
Filename: pool/universe/r/r-cran-sf/r-cran-sf_0.9-5+dfsg-1_amd64.deb
Size: 2683652
MD5sum: fd9581e5ef64314318ae0c4891e1df7f
SHA1: 210a6d4fede97d542a69273a0dca3a02ab539587
SHA256: b76547191f09ca6f7b6e93dbdb2f377f097cdeced53f875a6b47672dc3b27d10
SHA512: b4d4fd273cd4ac50360b1c9c54c8f3e692b9c19f6f2472035ea3390d2367af7c01f25b802fdc3ca0249c7af11eed0073fd3224ba279c123398faffe93ecc63b5
Homepage: https://cran.r-project.org/package=sf
Description-en: Simple Features for R
Support for simple features, a standardized way to encode spatial vector
data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for
geometrical operations, and to 'PROJ' for projection conversions and
datum transformations.
Description-md5: 9ab2056a03176ae485da026b01b86beb