galah
galah is an R interface to biodiversity data hosted by the Atlas of
Living Australia (ALA). It 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, except
atlas_taxonomy which returns tree consisting of Node objects using the
data.tree package.
The ALA is an aggregator of biodiversity data, focussed primarily on observations of individual life forms. Like the Global Biodiversity Information Facility (GBIF), the basic unit of data at ALA is an occurrence record, based on the 'Darwin Core' data standard.
The galah 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 vignette provides an introduction to the package functions.
- For an outline of the package structure, and a list of all the available functions, run
?galahor view the reference page.
Installation
Install from CRAN:
install.packages("galah")Install the development version from GitHub:
install.packages("remotes")
remotes::install_github("AtlasOfLivingAustralia/galah")On Linux you will first need to ensure that libcurl and v8 (version <= 3.15) are installed on your system --- e.g. on Ubuntu/Debian, open a terminal and do:
sudo apt-get install libcurl4-openssl-dev libv8-3.14-devgalah 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
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 data.frame
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)