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galah

Overview

galah is an R interface to biodiversity data hosted by the Global Biodiversity Information Facility (GBIF) and those members of the GBIF node network that maintain their own APIs (i.e. the ‘living atlases’). These organisations collate and store observations of individual life forms, using the ‘Darwin Core’ data standard. galah was built and is maintained by the Science & Decision Support Team at the Atlas of Living Australia (ALA).

galah enables users to locate and download species occurrence records (observations, specimens, eDNA records, etc.), taxonomic information, or associated media such as images or sounds, and to restrict their queries to particular taxa or locations. Users can specify which columns are returned by a query, or restrict their results to occurrences that meet particular data-quality criteria. All functions return a tibble as their standard format.

The package is named for the bird of the same name (Eolophus roseicapilla), a widely-distributed endemic Australian species. The logo was designed by Ian Brennan.

If you have any comments, questions or suggestions, please contact us.

Getting started

  • The quick start guide provides an introduction to the package functions.
  • For an outline of the package structure, and a list of all the available functions, run ?galah or view the reference page.

Installation

Install from CRAN:

Install the development version from GitHub:

install.packages("remotes")
remotes::install_github("AtlasOfLivingAustralia/galah-R")

galah depends on sf for location-based searches. To install galah you will need to make sure your system meets the sf system requirements, as specified here.

Cheat sheet

Citations

To generate a citation for the package version you are using, you can run

citation(package = "galah")

If you’re using occurrence data downloaded through galah in a publication, please generate a DOI and cite it. To request a DOI for a download of occurrence record, set mint_doi = TRUE in a call to atlas_occurrences(). To generate a citation for the downloaded occurrence records, pass the tibble generated to atlas_citation().

# Download occurrence records with a DOI 
occ <- atlas_occurrences(..., mint_doi = TRUE)

# See DOI
attr(occ, "doi")

# Generate citation
atlas_citation(occ)