%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname bdc %global packver 1.1.4 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.1.4 Release: 1%{?dist}%{?buildtag} Summary: Biodiversity Data Cleaning License: GPL (>= 3) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel Requires: R-core BuildArch: noarch BuildRequires: R-CRAN-sf >= 1.0.5 BuildRequires: R-CRAN-taxadb >= 0.1.3 BuildRequires: R-CRAN-CoordinateCleaner BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-DT BuildRequires: R-CRAN-foreach BuildRequires: R-CRAN-fs BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-here BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-qs BuildRequires: R-CRAN-readr BuildRequires: R-CRAN-rgnparser BuildRequires: R-CRAN-rnaturalearth BuildRequires: R-CRAN-stringdist BuildRequires: R-CRAN-stringi BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-tidyselect Requires: R-CRAN-sf >= 1.0.5 Requires: R-CRAN-taxadb >= 0.1.3 Requires: R-CRAN-CoordinateCleaner Requires: R-CRAN-dplyr Requires: R-CRAN-DT Requires: R-CRAN-foreach Requires: R-CRAN-fs Requires: R-CRAN-ggplot2 Requires: R-CRAN-here Requires: R-CRAN-magrittr Requires: R-CRAN-purrr Requires: R-CRAN-qs Requires: R-CRAN-readr Requires: R-CRAN-rgnparser Requires: R-CRAN-rnaturalearth Requires: R-CRAN-stringdist Requires: R-CRAN-stringi Requires: R-CRAN-stringr Requires: R-CRAN-tibble Requires: R-CRAN-tidyselect %description It brings together several aspects of biodiversity data-cleaning in one place. 'bdc' is organized in thematic modules related to different biodiversity dimensions, including 1) Merge datasets: standardization and integration of different datasets; 2) Pre-filter: flagging and removal of invalid or non-interpretable information, followed by data amendments; 3) Taxonomy: cleaning, parsing, and harmonization of scientific names from several taxonomic groups against taxonomic databases locally stored through the application of exact and partial matching algorithms; 4) Space: flagging of erroneous, suspect, and low-precision geographic coordinates; and 5) Time: flagging and, whenever possible, correction of inconsistent collection date. In addition, it contains features to visualize, document, and report data quality – which is essential for making data quality assessment transparent and reproducible. The reference for the methodology is Bruno et al. (2022) . %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %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 # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}