R: Geographic and Taxonomic Occurrence R-Based Scrubbing

# Geographic and Taxonomic Occurrence R-Based Scrubbing

## Documentation for package ‘gatoRs’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

basic_locality_clean | Locality Cleaning - Remove missing and improbable coordinates
basis_clean | Basis Cleaning - Removes records with certain record basis
citation_bellow | Cite Data - Get GBIF citations
data_chomp | Subset Data - Get species, longitude, and latitude columns
filter_fix_names | Used in gators_download() - Filter iDigBio results by scientific name
fix_columns | Used in gators_download() - Fill out taxonomic name columns
fix_names | Used in gators_download() - Fix taxonomic name capitalization
full_clean | Full Cleaning - Wrapper function to speed clean
gators_download | Download - Download specimen data from both iDigBio and GBIF
gators_merge | Merge Retained Data - Combined original data set with georeferenced or retained records.
get_gbif | Used in gators_download() - Download data from the Global Biodiversity Information Facility
get_idigbio | Used in gators_download() - Download data from Integrated Digitized Biocollections
needed_records | Identify Missing Information - Find records with redacted or missing data
need_to_georeference | Identify Missing Information - Find records which lack coordinate information
one_point_per_pixel | Spatial Correction - One point per pixel
process_flagged | Locality Cleaning - Find possibly problematic occurrence records
remove_duplicates | Remove Duplicates - Remove records with identical event dates and coordinates
remove_missing | Remove Missing Information - Prepare to merge a data frame with georeferenced and retrieved records
remove_redacted | Remove Redacted Information - Remove protected or private records prior to publication
remove_skewed | Used in basic_locality_clean() - Removed skewed locality
taxa_clean | Taxonomic Cleaning - Filter and resolve taxon names
thin_points | Spatial Correction - Spatially thin records