Flags Spatial Errors in Biological Collection Data Using Specialists' Information R package RuHere version 1.0.1 Automatically flags common spatial errors in biological collection data using metadata and specialists' information. RuHere implements a workflow to manage occurrence data through six steps: dataset merging, metadata flagging, validation against expert-derived distribution maps, visualization of flagged records, and sampling bias exploration. It specifically integrates specialist-curated range information to identify geographic errors and introductions that often escape standard automated validation procedures. For details on the methodology, see: Trindade & Caron (2026) <doi:10.64898/2026.02.02.703373>. Software Depends: R (>= 3.5) Imports: Rcpp, terra, data.table, faunabr (>= 1.0.0), florabr (>= 1.3.1), jsonlite, rgbif, rredlist, stringi, BIEN, ridigbio, fields, ggplot2, mapview, sf, ggnewscale LinkingTo: Rcpp (>= 1.1.0), RcppArmadillo (>= 15.0.2.2) Suggests: pbapply, knitr, R.utils, rmarkdown, CoordinateCleaner Weverton C. F. Trindade <wevertonf1993@gmail.com> Comprehensive R Archive Network (CRAN) Weverton C. F. Trindade [aut, cre] (ORCID: <https://orcid.org/0000-0003-2045-4555>), Fernanda S. Caron [aut] (ORCID: <https://orcid.org/0000-0002-1884-6157>) GPL (>= 3) 2026-02-17 application/tgz https://CRAN.R-project.org/package=RuHere doi:10.32614/CRAN.package.RuHere