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nataliepatten/gatoRs

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gatoRs: Geographic and Taxonomic Occurrence R-Based Scrubbing

Natalie N. Patten, Michelle L. Gaynor, Douglas E. Soltis, and Pamela S. Soltis

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Overview

gatoRs (Geographic and Taxonomic Occurrence R-Based Scrubbing) provides users with tools for downloading and processing biodiversity data. Clickhere for the full user guide.

Installation

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! **

Quick Start

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 introductionhere!
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).

Reference

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.

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