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

Last updated: May 18,2024

1. Install "r-cran-spdata" package

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

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

2. Uninstall "r-cran-spdata" package

Here is a brief guide to show you how to uninstall r-cran-spdata on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-cran-spdata
Architecture: all
Version: 0.3.5-2build1
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: 6196
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-sp, r-cran-raster
Suggests: r-cran-foreign, r-cran-maptools, r-cran-rgdal, r-cran-sf, r-cran-spdep, r-cran-spatialreg
Filename: pool/universe/r/r-cran-spdata/r-cran-spdata_0.3.5-2build1_all.deb
Size: 3273860
MD5sum: fbcfb22f24768b991feeb8d389bce2dc
SHA1: db2fd8bc83d898d98e78e33a25a2a3fda046bc82
SHA256: bfc5ccbd386e93344bc610f1360e314c3337ecee28a5fe6374c66cb8029fe337
SHA512: 240f27f7e3d924d40b396df97de2cfa8f9e97f6c062886f6a2444ed5cb3fc89855f85e58283d3799b976f86d7f79a0c6bc1871eee195dc887c094b81dbc384ba
Homepage: https://cran.r-project.org/package=spData
Description-en: GNU R datasets for spatial analysis
Diverse spatial datasets for demonstrating, benchmarking and teaching
spatial data analysis. It includes R data of class sf (defined by the
package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial
data packages such as 'rnaturalearth' and 'maps', it also contains data
stored in a range of file formats including GeoJSON, ESRI Shapefile and
GeoPackage. Some of the datasets are designed to illustrate specific
analysis techniques. cycle_hire and cycle_hire_osm, for example, is
designed to illustrate point pattern analysis techniques.
Description-md5: eef2f4ed3e4869656cba39d9df3d306e