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 Bruno et al. (2022) <doi:10.1111/2041-210X.13868>.

Package details

AuthorBruno Ribeiro [aut, cre] (<>), Santiago Velazco [aut] (<>), Karlo Guidoni-Martins [aut] (<>), Geiziane Tessarolo [aut] (<>), Lucas Jardim [aut] (<>), Steven Bachman [ctb] (<>), Rafael Loyola [ctb] (<>)
MaintainerBruno Ribeiro <>
LicenseGPL (>= 3)
URL (website)
Package repositoryView on CRAN
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bdc documentation built on Aug. 18, 2022, 9:05 a.m.