
TERN is pleased to announce that our brand new AusPlotsR package is now openly available for download via GitHub. Version 1.0 of the AusPlotsR package enables live extraction, preparation, visualisation and analysis of all the TERN Ecosystem Surveillance data.
Through AusPlotsR, users can directly access plot-based data on vegetation and soils collected all across Australia from over 600 TERN ecosystem monitoring plots. The data includes physical sample barcode numbers to link with TERN’s Ecosystem Sample Library.
Hard at work exploring TERN’s brand new AusPlots R package, our Data Skills Workshop as part of #ESAus18 at @QUT pic.twitter.com/5gUvq5teBR
— TERN (@TERN_Aus) November 30, 2018
Using the new R package, users can access the latest, up to date TERN data via direct database queries rather than pre-loaded, static datasets.
It also contains simple, self-contained functions that take care of many of the pre-processing steps needed to compile observations from hundreds of field plots. This means that, in a matter of minutes, a user can create multi-faceted data tables ready for ecological analyses, such as classification, ordination, species accumulation, diversity indices, vegetation structure, growth forms, tree basal area and fractional ground cover.
All outputs from the package are retained in the detailed raw data, including information on facets such as substrate cover and plant height across each plot at 1010-point intercepts.
By accessing TERN data through AusPlotsR, users can take advantage of existing functionality in R, such as other ecological analysis packages, without needing to store databases or text files on their local disk. Doing so substantially simplifies analysis procedures, analysis updates and record keeping.
Day 2 of @ecoEd_ Champions training is underway! Bernardo Blanco-Martin from @TERN_Aus introducing #Ausplots and using the AusplotsR package to analyse #Australian #ecology #data pic.twitter.com/TJbC8ohN70
— ecoEd (@ecoEd_) December 11, 2018
Published in TERN newsletter February 2019