galah-python
is a Python 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-python
was built and is maintained by the Science & Decision Support
Team at the Atlas of Living
Australia (ALA).
galah-python
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 Pandas DataFrame
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.
See the installation docs for full details.
Install the galah-python
package
$ pip install galah-python
galah-python
depends on the following packages:
numpy
pandas
requests
urllib3
TIME-python
zip-files
configparser
glob2
shutils
setuptools
shapely
pytest
unittest2py3k
Visit the galah package website for documentation and vignettes to get started.
galah-python
was created by Amanda Buyan, with contributions by Caitlin Ramsay, Dax Kellie and Martin Westgate under a MPL-2.0 license.
galah-python
was created with cookiecutter
and the py-pkgs-cookiecutter
template.