Data

Australian shoreline retreat dataset for Bayesian network analysis

The University of Queensland
Dr Daniel Harris (Author) Mr Yongjing Mao (Author)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.14264/fe5a28b&rft.title=Australian shoreline retreat dataset for Bayesian network analysis&rft.identifier=10.14264/fe5a28b&rft.publisher=The University of Queensland&rft.description=This dataset includes spatial distribution of shoreline retreat rate of Australia as well as variables determining the shoreline migration (e.g. mean wave height, tidal range and sea level rise rate). It also includes Matlab scripts to set-up Bayesian networks, which can be used to understand relations among different variables and predict future shoreline retreat rate under different sea level rise scenarios.&rft.creator=Dr Daniel Harris&rft.creator=Mr Yongjing Mao&rft.date=2021&rft_subject=shoreline retreat rate&rft_subject=Bayesian network analysis&rft.type=dataset&rft.language=English Access the data

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Open Access

Permitted Re-use with Acknowledgement

Contact Information

s4522477@student.uq.edu.au

Full description

This dataset includes spatial distribution of shoreline retreat rate of Australia as well as variables determining the shoreline migration (e.g. mean wave height, tidal range and sea level rise rate). It also includes Matlab scripts to set-up Bayesian networks, which can be used to understand relations among different variables and predict future shoreline retreat rate under different sea level rise scenarios.

Issued: 2021

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