Dr Marnie Low
- Honorary Research Fellow (School of Mathematics & Statistics)
email:
Marnie.Low@glasgow.ac.uk
Room 344, School of Mathematics and Statistics
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
email:
Marnie.Low@glasgow.ac.uk
Room 344, School of Mathematics and Statistics
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)
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)
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)
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.
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)
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.
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)