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MATLAB code and data used in the code for thesis titled "Developing a Geospatial Bayesian Probabilistic Method for Groundwater Vulnerability Assessment"

University of New South Wales
Taghavi, Nasrin ; Niven, Robert
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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:doi10.26190/unsworks/30797&rft.title=MATLAB code and data used in the code for thesis titled Developing a Geospatial Bayesian Probabilistic Method for Groundwater Vulnerability Assessment&rft.identifier=https://doi.org/10.26190/unsworks/30797&rft.publisher=UNSW, Sydney&rft.description=Groundwater vulnerability assessment via sparsity-enforcing Bayesian inference: This code includes Joint maximum a-posteriori (JMAP), variational Bayesian approximation (VBA) and SIDNy algorithms for groundwater vulnerability assessment using spatial series data.&rft.creator=Taghavi, Nasrin &rft.creator=Niven, Robert &rft.date=2025&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=joint maximum a-posteriori (JMAP)&rft_subject=variational Bayesian approximation (VBA)&rft_subject=SIDNy&rft_subject=groundwater vulnerability assessment&rft_subject=sparsity-enforcing Bayesian inference&rft_subject=Probability theory&rft_subject=Statistics&rft_subject=MATHEMATICAL SCIENCES&rft_subject=Groundwater quality processes and contaminated land assessment&rft_subject=Pollution and contamination&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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Groundwater vulnerability assessment via sparsity-enforcing Bayesian inference: This code includes Joint maximum a-posteriori (JMAP), variational Bayesian approximation (VBA) and SIDNy algorithms for groundwater vulnerability assessment using spatial series data.

Issued: 2025

Data time period: 2015 to 2023

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Subjects
Environmental Sciences | Groundwater Quality Processes and Contaminated Land Assessment | Mathematical Sciences | Pollution and Contamination | Probability Theory | SIDNy | Statistics | groundwater vulnerability assessment | joint maximum a-posteriori (JMAP) | sparsity-enforcing Bayesian inference | variational Bayesian approximation (VBA) |

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