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Natalie N. Patten, Michelle L. Gaynor, Douglas E. Soltis, and Pamela S. Soltis 
gatoRs (Geographic and Taxonomic Occurrence R-Based Scrubbing) provides users with tools for downloading and processing biodiversity data. Click here for the full user guide.
install.packages("devtools")
devtools::install_github("nataliepatten/gatoRs")Thank you to the CoordinateCleaner team for updating their package! We no longer have a spatial error associated with our package!
Our package aims to streamline downloading and processing of biodiversity specimen data. Here is a quick example of how to download and clean with our package.
Step 1: Download
library(gatoRs)
galaxdf <- gators_download(synonyms.list = c("Galax urceolata", "Galax aphylla"),
write.file = FALSE,
gbif.match = "fuzzy",
idigbio.filter = TRUE)Step 2: Clean
- We do not recommend jumping to our full clean function. See our extended introduction here!
clean_data <- full_clean(galaxdf,
synonyms.list = c("Galax urceolata", "Galax aphylla"),
digits = 3,
basis.list = c("Preserved Specimen","Physical specimen"),
accepted.name = "Galax urceolata")The gatoRs logo was created using the hexSticker package (https://github.com/GuangchuangYu/hexSticker).
Patten N, Gaynor M, Soltis D, Soltis P (2024). “Geographic And Taxonomic Occurrence R-based Scrubbing (gatoRs): An R package and workflow for processing biodiversity data.” Applications in Plant Sciences 12(2):e11575. doi:10.1002/aps3.11575.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.