Package: bdc 1.1.6

bdc: Biodiversity Data Cleaning

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 Ribeiro and colleagues (2022) <doi:10.1111/2041-210X.13868>.

Authors:Bruno Ribeiro [aut, cre], Santiago Velazco [aut], Karlo Guidoni-Martins [aut], Geiziane Tessarolo [aut], Lucas Jardim [aut], Steven Bachman [ctb], Rafael Loyola [ctb]