File R-SurfRough.spec of Package R-SurfRough

# Automatically generated by CRAN2OBS
# 
# Spec file for package SurfRough 
# 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) 2026 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  SurfRough 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.0.1.2 
Release:        0 
Summary:        Calculate Surface/Image Texture Indexes 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         SurfRough_0.0.1.2.tar.gz 
Requires:       R-base 
Requires:	R-terra
Requires:	R-Rcpp
 
# %%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-terra
BuildRequires: 	R-Rcpp-devel
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-tinytest
%description 
Methods for the computation of surface/image texture indices using a 
geostatistical based approach (Trevisani et al. (2023) 
<doi:10.1016/j.catena.2023.106927> and Trevisani and Guth (2025) 
<doi:10.3390/rs17233864>). It provides various functions for the 
computation of surface texture indices (e.g., omnidirectional roughness 
and roughness anisotropy), including the ones based on the robust MAD 
estimator. The kernels included in the software permit also to 
calculate the surface/image texture indices directly from the input 
surface (i.e., without de-trending) using increments of order 2 and of 
order 4. It also provides the new radial roughness index (RRI), 
representing the improvement of the popular topographic roughness index 
(TRI). The framework can be easily extended with ad-hoc surface/image 
texture indices. 
 
%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
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/extdata
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
%{rlibdir}/%{packname}/tinytest
 
%changelog