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Package: r-cran-rgdal
Description-md5: 731ba318ad90af59b91585a829bc8e5e
Description-en: GNU R bindings for the geospatial data abstraction library
 Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL')
 (>= 1.11.4) and access to projection/transformation operations from the
 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the
 package, and, when installing the package from source, must be correctly
 installed first. From 'rgdal' 1.4.1, provision is made for 'PROJ6'
 accommodation, with 'PROJ6' functionality to follow; from 1.4.1 'rgdal'
 will build and function when 'PROJ' >= 6. Both 'GDAL' raster and 'OGR'
 vector map data can be imported into R, and 'GDAL' raster data and 'OGR'
 vector data exported. Use is made of classes defined in the 'sp'
 package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4'
 and 'Expat') are provided on 'CRAN'.

Package: r-cran-sf
Description-md5: 9ab2056a03176ae485da026b01b86beb
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.

Package: r-cran-terra
Description-md5: 90d0855f89d0d343c7014869ac444439
Description-en: GNU R spatial data analysis
 Methods for spatial data analysis with raster and vector data. Raster
 methods allow for low-level data manipulation as well as high-level
 global, local, zonal, and focal computation. The predict and interpolate
 methods facilitate the use of regression type (interpolation, machine
 learning) models for spatial prediction, including with satellite remote
 sensing data. Processing of very large files is supported. See the
 manual and tutorials on <https://rspatial.org/terra/> to get started.
 'terra' is very similar to the 'raster' package; but 'terra' can do
 more, is easier to use, and it is faster.

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