File R-rassta.spec of Package R-rassta

# Automatically generated by CRAN2OBS
# 
# Spec file for package rassta 
# 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  rassta 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.0.6 
Release:        0 
Summary:        Raster-Based Spatial Stratification Algorithms 
Group:          Development/Libraries/Other 
License:        AGPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         rassta_1.0.6.tar.gz 
Requires:       R-base 
Requires:	R-data.table
Requires:	R-dplyr
Requires:	R-DT
Requires:	R-foreach
Requires:	R-GGally
Requires:	R-ggplot2
Requires:	R-histogram
Requires:	R-kohonen
Requires:	R-plotly
Requires:	R-rlang
Requires:	R-scales
Requires:	R-shiny
Requires:	R-stringdist
Requires:	R-stringi
Requires:	R-terra
Requires:	R-cli
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-magrittr
Requires:	R-pillar
Requires:	R-R6
Requires:	R-tibble
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-crosstalk
Requires:	R-htmltools
Requires:	R-htmlwidgets
Requires:	R-jquerylib
Requires:	R-jsonlite
Requires:	R-promises
Requires:	R-iterators
Requires:	R-ggstats
Requires:	R-gtable
Requires:	R-progress
Requires:	R-RColorBrewer
Requires:	R-S7
Requires:	R-tidyr
Requires:	R-isoband
Requires:	R-withr
Requires:	R-Rcpp
Requires:	R-httr
Requires:	R-digest
Requires:	R-viridisLite
Requires:	R-base64enc
Requires:	R-lazyeval
Requires:	R-purrr
Requires:	R-farver
Requires:	R-labeling
Requires:	R-bslib
Requires:	R-cachem
Requires:	R-commonmark
Requires:	R-fastmap
Requires:	R-fontawesome
Requires:	R-httpuv
Requires:	R-later
Requires:	R-mime
Requires:	R-otel
Requires:	R-sourcetools
Requires:	R-xtable
Requires:	R-memoise
Requires:	R-sass
Requires:	R-forcats
Requires:	R-patchwork
Requires:	R-stringr
Requires:	R-knitr
Requires:	R-rmarkdown
Requires:	R-yaml
Requires:	R-curl
Requires:	R-openssl
Requires:	R-cpp11
Requires:	R-utf8
Requires:	R-crayon
Requires:	R-hms
Requires:	R-prettyunits
Requires:	R-pkgconfig
Requires:	R-evaluate
Requires:	R-highr
Requires:	R-xfun
Requires:	R-askpass
Requires:	R-tinytex
Requires:	R-fs
Requires:	R-rappdirs
Requires:	R-sys
 
# %%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-data.table
BuildRequires: 	R-dplyr
BuildRequires: 	R-DT
BuildRequires: 	R-foreach
BuildRequires: 	R-GGally
BuildRequires: 	R-ggplot2
BuildRequires: 	R-histogram
BuildRequires: 	R-kohonen
BuildRequires: 	R-plotly
BuildRequires: 	R-rlang
BuildRequires: 	R-scales
BuildRequires: 	R-shiny
BuildRequires: 	R-stringdist
BuildRequires: 	R-stringi
BuildRequires: 	R-terra
BuildRequires: 	R-cli
BuildRequires: 	R-generics
BuildRequires: 	R-glue
BuildRequires: 	R-lifecycle
BuildRequires: 	R-magrittr
BuildRequires: 	R-pillar
BuildRequires: 	R-R6
BuildRequires: 	R-tibble
BuildRequires: 	R-tidyselect
BuildRequires: 	R-vctrs
BuildRequires: 	R-crosstalk
BuildRequires: 	R-htmltools
BuildRequires: 	R-htmlwidgets
BuildRequires: 	R-jquerylib
BuildRequires: 	R-jsonlite
BuildRequires: 	R-promises
BuildRequires: 	R-iterators
BuildRequires: 	R-ggstats
BuildRequires: 	R-gtable
BuildRequires: 	R-progress
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-S7
BuildRequires: 	R-tidyr
BuildRequires: 	R-isoband
BuildRequires: 	R-withr
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-httr
BuildRequires: 	R-digest
BuildRequires: 	R-viridisLite
BuildRequires: 	R-base64enc
BuildRequires: 	R-lazyeval
BuildRequires: 	R-purrr
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-bslib
BuildRequires: 	R-cachem
BuildRequires: 	R-commonmark
BuildRequires: 	R-fastmap
BuildRequires: 	R-fontawesome
BuildRequires: 	R-httpuv
BuildRequires: 	R-later
BuildRequires: 	R-mime
BuildRequires: 	R-otel
BuildRequires: 	R-sourcetools-devel
BuildRequires: 	R-xtable
BuildRequires: 	R-memoise
BuildRequires: 	R-sass
BuildRequires: 	R-forcats
BuildRequires: 	R-patchwork
BuildRequires: 	R-stringr
BuildRequires: 	R-knitr
BuildRequires: 	R-rmarkdown
BuildRequires: 	R-yaml
BuildRequires: 	R-curl
BuildRequires: 	R-openssl
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-utf8
BuildRequires: 	R-crayon
BuildRequires: 	R-hms
BuildRequires: 	R-prettyunits
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-evaluate
BuildRequires: 	R-highr
BuildRequires: 	R-xfun
BuildRequires: 	R-askpass
BuildRequires: 	R-tinytex
BuildRequires: 	R-fs
BuildRequires: 	R-rappdirs
BuildRequires: 	R-sys
 
Suggests:	R-testthat
Suggests:	R-tinytest
Suggests:	R-doParallel
Suggests:	R-knitr
Suggests:	R-rmarkdown
%description 
Algorithms for the spatial stratification of landscapes, sampling and 
modeling of spatially-varying phenomena. These algorithms offer a 
simple framework for the stratification of geographic space based on 
raster layers representing landscape factors and/or factor scales. The 
stratification process follows a hierarchical approach, which is based 
on first level units (i.e., classification units) and second-level 
units (i.e., stratification units). Nonparametric techniques allow to 
measure the correspondence between the geographic space and the 
landscape configuration represented by the units. These correspondence 
metrics are useful to define sampling schemes and to model the spatial 
variability of environmental phenomena. The theoretical background of 
the algorithms and code examples are presented in Fuentes et al. 
(2022). <doi:10.32614/RJ-2022-036>. 
 
%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} 
%{rlibdir}/%{packname}/CITATION
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/doc
%{rlibdir}/%{packname}/exdat
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/tinytest
 
%changelog