Dr Marnie Low

  • Lecturer (Statistics)

telephone: 0141 330 6615
email: Marnie.Low@glasgow.ac.uk

Room 344, School of Mathematics and Statistics

ORCID iDhttps://orcid.org/0000-0002-5686-4997

Research interests

My main research interest lies in spatio-temporal spline based models, primarily for application in environmental settings. I am also interested in network design opitimisation, specifically looking at groundwater quality data.

Research units

Publications

List by: Type | Date

Jump to: 2022 | 2019
Number of items: 4.

2022

Low, M. , Alexander, C. and Bock, M. (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, W. R., Rock, L., Wesch, A., Marzusch, E. and Low, M. (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. , Evers, L. , Bowman, A.W. , 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. , Bonte, M., Evers, L. , Bowman, A.W. 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.

This list was generated on Sat Mar 25 05:01:10 2023 GMT.
Jump to: Articles | Conference or Workshop Item | Conference Proceedings
Number of items: 4.

Articles

Jones, W. R., Rock, L., Wesch, A., Marzusch, E. and Low, M. (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. , Evers, L. , Bowman, A.W. , 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)

Conference or Workshop Item

Low, M.I. , Bonte, M., Evers, L. , Bowman, A.W. 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

Low, M. , Alexander, C. and Bock, M. (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)

This list was generated on Sat Mar 25 05:01:10 2023 GMT.

Teaching

This year I am teaching,

  • Flexible Regression
  • Professional Skills

I am also supervising MSc projects and am a director of the PGT statistics oncampus programmes.