File R-terra.spec of Package R-terra
# Automatically generated by CRAN2OBS
#
# Spec file for package terra
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
# discussed with upstream.
#
# Copyright (c) 2025 SUSE LINUX GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.
#
# Please submit bugfixes or comments via http://bugs.opensuse.org/
#
%global packname terra
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.8.21
Release: 0
Summary: Spatial Data Analysis
Group: Development/Libraries/Other
License: GPL (>= 3)
URL: http://cran.r-project.org/web/packages/%{packname}
Source: terra_1.8-21.tar.gz
Requires: R-base
Requires: R-Rcpp
Requires: gdal
Requires: proj
Requires: sqlite3
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
# # Three others commonly needed
# BuildRequires: tex(ae.sty)
# BuildRequires: tex(fancyvrb.sty)
# BuildRequires: tex(inconsolata.sty)
# BuildRequires: tex(natbib.sty)
# %else
# BuildRequires: texlive
# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-Rcpp-devel
BuildRequires: gdal
BuildRequires: gdal-devel
BuildRequires: geos-devel
BuildRequires: proj
BuildRequires: proj-devel
BuildRequires: sqlite3-devel
BuildRequires: gcc gcc-c++ gcc-fortran
Suggests: R-tinytest
Suggests: R-ncdf4
Suggests: R-sf
Suggests: R-deldir
Suggests: R-XML
Suggests: R-leaflet
Suggests: R-htmlwidgets
%description
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. 'terra' replaces the 'raster'
package ('terra' can do more, and it is faster and easier to use).
%prep
%setup -q -c -n %{packname}
# the next line is needed, because we build without --clean in between two packages
rm -rf ~/.R
%build
%install
mkdir -p %{buildroot}%{rlibdir}
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
rm -f %{buildroot}%{rlibdir}/R.css
%fdupes -s %{buildroot}%{rlibdir}
#%%check
#%%{_bindir}/R CMD check %%{packname}
%files
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/colors
%{rlibdir}/%{packname}/ex
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
%{rlibdir}/%{packname}/tinytest
%changelog