Source: r-cran-terra
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-rcpp,
 architecture-is-64-bit,
 architecture-is-little-endian,
 libproj-dev,
 libgdal-dev,
 libgeos-dev,
 libsqlite3-dev,
 pkgconf,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-terra
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-terra.git
Homepage: https://cran.r-project.org/package=terra
Rules-Requires-Root: no

Package: r-cran-terra
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Spatial Data Analysis
 Methods for spatial data analysis with vector (points, lines, polygons)
 and raster (grid) data. Methods for vector data include geometric operations
 such as intersect and buffer. Raster methods include local, focal, global,
 zonal and geometric operations. 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/> to get started.
