Dr Marnie Low
- Honorary Research Fellow (School of Mathematics & Statistics)
email:
Marnie.Low@glasgow.ac.uk
Room 344, School of Mathematics and Statistics
Publications
2026
Radvanyi, Peter, Miller, Claire ORCID: https://orcid.org/0000-0002-1857-4454, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X, Low, Marnie
ORCID: https://orcid.org/0000-0002-5686-4997, Rock, Luc and Jones, Wayne
(2026)
Computationally efficient ranking of sampling locations by redundancy in groundwater monitoring networks.
Ground Water Monitoring and Remediation,
(doi: 10.1111/gwmr.70066)
(Early Online Publication)
Jones, Wayne R., Rock, Luc, Miller, Claire ORCID: https://orcid.org/0000-0002-1857-4454, Low, Marnie
ORCID: https://orcid.org/0000-0002-5686-4997, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X, Bowman, Adrian
ORCID: https://orcid.org/0000-0002-5729-4631 and Radvanyi, Peter
(2026)
GroundWater Spatiotemporal Data Analysis Tool (GWSDAT): Version 3.3 User Manual.
Manual.
GWSDAT.
2024
Low, Marnie I. ORCID: https://orcid.org/0000-0002-5686-4997, Bowman, Adrian W.
ORCID: https://orcid.org/0000-0002-5729-4631, Jones, Wayne and Bonte, Matthijs
(2024)
Exact optimisation of spatiotemporal monitoring networks by p-splines with applications in groundwater assessment.
Environmetrics, 35(6),
e2874.
(doi: 10.1002/env.2874)
2023
Radvanyi, Peter, Miller, Claire ORCID: https://orcid.org/0000-0002-1857-4454, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X, Low, Marnie
ORCID: https://orcid.org/0000-0002-5686-4997, Jones, Wayne R. and Rock, Luc
(2023)
Computationally Efficient Ranking of Groundwater Monitoring Locations.
In: 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023,
pp. 332-338.
ISBN 9783947323425
2022
Low, Marnie ORCID: https://orcid.org/0000-0002-5686-4997, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X and Bock, Mitchum
(2022)
Investigating Perceived Student Learning from Peer Review in Statistics Education.
In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022,
(doi: 10.52041/iase.icots11.T14C1)
Jones, Wayne R., Rock, Luc, Wesch, Alexandra, Marzusch, Emanuel and Low, Marnie ORCID: https://orcid.org/0000-0002-5686-4997
(2022)
GroundWater Spatiotemporal Data Analysis Tool (GWSDAT): case studies, new features and future developments.
Ground Water Monitoring and Remediation, 42(3),
pp. 14-22.
(doi: 10.1111/gwmr.12522)
2019
McLean, M.I. ORCID: https://orcid.org/0000-0002-5686-4997, Evers, L.
ORCID: https://orcid.org/0000-0002-4844-4001, Bowman, A.W.
ORCID: https://orcid.org/0000-0002-5729-4631, Bonte, M. and Jones, W.R.
(2019)
Statistical modelling of groundwater contamination monitoring data: a comparison of spatial and spatiotemporal methods.
Science of the Total Environment, 652,
pp. 1339-1346.
(doi: 10.1016/j.scitotenv.2018.10.231)
(PMID:30586819)
Low, M.I. ORCID: https://orcid.org/0000-0002-5686-4997, Bonte, M., Evers, L.
ORCID: https://orcid.org/0000-0002-4844-4001, Bowman, A.W.
ORCID: https://orcid.org/0000-0002-5729-4631 and Jones, W.R.
(2019)
Statistical Modelling of Groundwater Contamination Monitoring Data using GWSDAT: a Comparison of Spatial and Spatiotemporal Methods.
AquaConSoil 2019, Antwerp, Belgium, 20-24 May 2019.
pp. 5-6.
Articles
Radvanyi, Peter, Miller, Claire ORCID: https://orcid.org/0000-0002-1857-4454, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X, Low, Marnie
ORCID: https://orcid.org/0000-0002-5686-4997, Rock, Luc and Jones, Wayne
(2026)
Computationally efficient ranking of sampling locations by redundancy in groundwater monitoring networks.
Ground Water Monitoring and Remediation,
(doi: 10.1111/gwmr.70066)
(Early Online Publication)
Low, Marnie I. ORCID: https://orcid.org/0000-0002-5686-4997, Bowman, Adrian W.
ORCID: https://orcid.org/0000-0002-5729-4631, Jones, Wayne and Bonte, Matthijs
(2024)
Exact optimisation of spatiotemporal monitoring networks by p-splines with applications in groundwater assessment.
Environmetrics, 35(6),
e2874.
(doi: 10.1002/env.2874)
Jones, Wayne R., Rock, Luc, Wesch, Alexandra, Marzusch, Emanuel and Low, Marnie ORCID: https://orcid.org/0000-0002-5686-4997
(2022)
GroundWater Spatiotemporal Data Analysis Tool (GWSDAT): case studies, new features and future developments.
Ground Water Monitoring and Remediation, 42(3),
pp. 14-22.
(doi: 10.1111/gwmr.12522)
McLean, M.I. ORCID: https://orcid.org/0000-0002-5686-4997, Evers, L.
ORCID: https://orcid.org/0000-0002-4844-4001, Bowman, A.W.
ORCID: https://orcid.org/0000-0002-5729-4631, Bonte, M. and Jones, W.R.
(2019)
Statistical modelling of groundwater contamination monitoring data: a comparison of spatial and spatiotemporal methods.
Science of the Total Environment, 652,
pp. 1339-1346.
(doi: 10.1016/j.scitotenv.2018.10.231)
(PMID:30586819)
Research Reports or Papers
Jones, Wayne R., Rock, Luc, Miller, Claire ORCID: https://orcid.org/0000-0002-1857-4454, Low, Marnie
ORCID: https://orcid.org/0000-0002-5686-4997, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X, Bowman, Adrian
ORCID: https://orcid.org/0000-0002-5729-4631 and Radvanyi, Peter
(2026)
GroundWater Spatiotemporal Data Analysis Tool (GWSDAT): Version 3.3 User Manual.
Manual.
GWSDAT.
Conference or Workshop Item
Low, M.I. ORCID: https://orcid.org/0000-0002-5686-4997, Bonte, M., Evers, L.
ORCID: https://orcid.org/0000-0002-4844-4001, Bowman, A.W.
ORCID: https://orcid.org/0000-0002-5729-4631 and Jones, W.R.
(2019)
Statistical Modelling of Groundwater Contamination Monitoring Data using GWSDAT: a Comparison of Spatial and Spatiotemporal Methods.
AquaConSoil 2019, Antwerp, Belgium, 20-24 May 2019.
pp. 5-6.
Conference Proceedings
Radvanyi, Peter, Miller, Claire ORCID: https://orcid.org/0000-0002-1857-4454, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X, Low, Marnie
ORCID: https://orcid.org/0000-0002-5686-4997, Jones, Wayne R. and Rock, Luc
(2023)
Computationally Efficient Ranking of Groundwater Monitoring Locations.
In: 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023,
pp. 332-338.
ISBN 9783947323425
Low, Marnie ORCID: https://orcid.org/0000-0002-5686-4997, Alexander, Craig
ORCID: https://orcid.org/0000-0001-6734-747X and Bock, Mitchum
(2022)
Investigating Perceived Student Learning from Peer Review in Statistics Education.
In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022,
(doi: 10.52041/iase.icots11.T14C1)