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AusRichness: A machine learning ready dataset for plant species richness prediction in Australia

Created 20/01/2025

Updated 07/03/2025

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This collection consists of a machine learning ready dataset for plant species richness prediction. This dataset was adopted for modelling the spatiotemporal distribution of plant species richness in Australia in the following paper: Guo, Y., Mokany, K., Levick, S. R., Yang, J., & Moghadam, P. (2024). Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction. arXiv preprint arXiv:2410.19256.

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Field Value
Title AusRichness: A machine learning ready dataset for plant species richness prediction in Australia
Language English
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/f1e4680a-c6c1-5fb6-8cb7-8ceac418e4ad
Contact Point
Environment Protection Authority (EPA) Victoria
CSIROEnquiries@csiro.au
Reference Period 01/01/2000
Geospatial Coverage http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA7
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "AusRichness: A machine learning ready dataset for plant species richness prediction in Australia". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/fedora-pid_csiro-62308

Original dataset
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No duplicate datasets found.