Data

Australian shoreline retreat dataset for Bayesian network analysis

The University of Queensland
Dr Daniel Harris (Aggregated by) Dr Daniel Harris (Aggregated by) Dr Yongjing Mao (Aggregated by) Dr Yongjing Mao (Aggregated by) Dr Yongjing Mao (Aggregated by)
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s4522477@student.uq.edu.au
School of Earth and Environmental Sciences

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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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Subjects
Bayesian network analysis | Earth Sciences | Geomorphology and Regolith and Landscape Evolution | Physical Geography and Environmental Geoscience | eng | shoreline retreat rate |

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Other Information
Determining the shoreline retreat rate of Australia using Discrete and Hybrid Bayesian networks

local : UQ:d3c7594

Mao, Yongjing, Harris, Daniel L., Callaghan, David P. and Phinn, Stuart (2021). Determining the shoreline retreat rate of Australia using Discrete and Hybrid Bayesian networks. Journal of Geophysical Research: Earth Surface, 126 (6) e2021JF006112. doi: 10.1029/2021jf006112

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local : UQ:289097

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