Dr Ruth O'Donnell

  • Lecturer (Statistics)

telephone: +44 (0)141 330 6530
email: Ruth.Haggarty@glasgow.ac.uk

R339, Mathematics and Statistics Building

Research interests

Research units

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2015 | 2014 | 2013 | 2012 | 2010
Number of items: 13.

2022

Gong, M. et al. (2022) Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data. Spatial Statistics, 50, 100615. (doi: 10.1016/j.spasta.2022.100615)

2021

Gong, M., Miller, C. , O'Donnell, R. and Scott, M. (2021) State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality. Stochastic Environmental Research and Risk Assessment, 35(12), pp. 2521-2536. (doi: 10.1007/s00477-021-02017-w)

2020

Romano, E., Diana, A., Miller, C. and O'Donnell, R. (2020) Optimally weighted L2 distances for spatially dependent functional data. Spatial Statistics, 39, 100468. (doi: 10.1016/j.spasta.2020.100468)

Maberly, S. C. et al. (2020) Global lake thermal regions shift under climate change. Nature Communications, 11, 1232. (doi: 10.1038/s41467-020-15108-z) (PMID:32144247) (PMCID:PMC7060244)

2019

Wilkie, C.J., Miller, C.A. , Scott, E.M. , O'Donnell, R.A., Hunter, P.D., Spyrakos, E. and Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. Environmetrics, 30(3), e2549. (doi: 10.1002/env.2549)

2018

Spyrakos, E. et al. (2018) Optical types of inland and coastal waters. Limnology and Oceanography, 63(2), pp. 846-870. (doi: 10.1002/lno.10674)

2015

O'Donnell, R., Miller, C. and Scott, E. (2015) Within Lake Clustering of High Resolution Satellite Retrievals: A Functional Data and Clustering Approach. In: 30th International Workshop on Statistical Modelling, Johannes Kepler Universität, Linz, Linz, Austria, 6-10 Jul 2015,

O'Donnell, R.A., Miller, C.A. and Scott, E.M. (2015) Spatially weighted functional clustering of river network data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64(3), pp. 491-506. (doi: 10.1111/rssc.12082) (PMID:25926710) (PMCID:PMC4407953)

Finazzi, F., Haggarty, R., Miller, C. , Scott, M. and Fassò, A. (2015) A comparison of clustering approaches for the study of the temporal coherence of multiple time series. Stochastic Environmental Research and Risk Assessment, 29(2), pp. 463-475. (doi: 10.1007/s00477-014-0931-2)

2014

Miller, C. , Magdalina, A.-M., Willows, R., Bowman, A. , Scott, E. , Lee, D. , Burgess, C., Pope, L., Pannullo, F. and Haggarty, R. (2014) Spatiotemporal statistical modelling of long-term change in river nutrient concentrations in England & Wales. Science of the Total Environment, 466-7, pp. 914-923. (doi: 10.1016/j.scitotenv.2013.07.113) (PMID:23988742)

2013

Scott, M. , Miller, C. , Finazzi, F. and Haggarty, R. (2013) Coherency in space of lake and river temperature and water quality records. In: SIS 2013 Statistical Conference: Advances in Latent Variables: Methods, Models and Applications, Brescia, Italy, 19-21 Jun 2013,

2012

Haggarty, R.A., Miller, C.A. , Scott, E.M. , Wyllie, F. and Smith, M. (2012) Functional clustering of water quality data in Scotland. Environmetrics, 23(8), pp. 685-695. (doi: 10.1002/env.2185)

2010

Haggarty, R. A., Ferguson, C. A., Scott, E. M. , Iroegbu, C. and Stidson, R. (2010) Extreme value theory applied to the definition of bathing water quality discounting limits. Water Research, 44(3), pp. 719-728. (doi: 10.1016/j.watres.2009.10.007)

This list was generated on Sat Apr 1 00:06:51 2023 BST.
Jump to: Articles | Conference Proceedings
Number of items: 13.

Articles

Gong, M. et al. (2022) Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data. Spatial Statistics, 50, 100615. (doi: 10.1016/j.spasta.2022.100615)

Gong, M., Miller, C. , O'Donnell, R. and Scott, M. (2021) State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality. Stochastic Environmental Research and Risk Assessment, 35(12), pp. 2521-2536. (doi: 10.1007/s00477-021-02017-w)

Romano, E., Diana, A., Miller, C. and O'Donnell, R. (2020) Optimally weighted L2 distances for spatially dependent functional data. Spatial Statistics, 39, 100468. (doi: 10.1016/j.spasta.2020.100468)

Maberly, S. C. et al. (2020) Global lake thermal regions shift under climate change. Nature Communications, 11, 1232. (doi: 10.1038/s41467-020-15108-z) (PMID:32144247) (PMCID:PMC7060244)

Wilkie, C.J., Miller, C.A. , Scott, E.M. , O'Donnell, R.A., Hunter, P.D., Spyrakos, E. and Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. Environmetrics, 30(3), e2549. (doi: 10.1002/env.2549)

Spyrakos, E. et al. (2018) Optical types of inland and coastal waters. Limnology and Oceanography, 63(2), pp. 846-870. (doi: 10.1002/lno.10674)

O'Donnell, R.A., Miller, C.A. and Scott, E.M. (2015) Spatially weighted functional clustering of river network data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64(3), pp. 491-506. (doi: 10.1111/rssc.12082) (PMID:25926710) (PMCID:PMC4407953)

Finazzi, F., Haggarty, R., Miller, C. , Scott, M. and Fassò, A. (2015) A comparison of clustering approaches for the study of the temporal coherence of multiple time series. Stochastic Environmental Research and Risk Assessment, 29(2), pp. 463-475. (doi: 10.1007/s00477-014-0931-2)

Miller, C. , Magdalina, A.-M., Willows, R., Bowman, A. , Scott, E. , Lee, D. , Burgess, C., Pope, L., Pannullo, F. and Haggarty, R. (2014) Spatiotemporal statistical modelling of long-term change in river nutrient concentrations in England & Wales. Science of the Total Environment, 466-7, pp. 914-923. (doi: 10.1016/j.scitotenv.2013.07.113) (PMID:23988742)

Haggarty, R.A., Miller, C.A. , Scott, E.M. , Wyllie, F. and Smith, M. (2012) Functional clustering of water quality data in Scotland. Environmetrics, 23(8), pp. 685-695. (doi: 10.1002/env.2185)

Haggarty, R. A., Ferguson, C. A., Scott, E. M. , Iroegbu, C. and Stidson, R. (2010) Extreme value theory applied to the definition of bathing water quality discounting limits. Water Research, 44(3), pp. 719-728. (doi: 10.1016/j.watres.2009.10.007)

Conference Proceedings

O'Donnell, R., Miller, C. and Scott, E. (2015) Within Lake Clustering of High Resolution Satellite Retrievals: A Functional Data and Clustering Approach. In: 30th International Workshop on Statistical Modelling, Johannes Kepler Universität, Linz, Linz, Austria, 6-10 Jul 2015,

Scott, M. , Miller, C. , Finazzi, F. and Haggarty, R. (2013) Coherency in space of lake and river temperature and water quality records. In: SIS 2013 Statistical Conference: Advances in Latent Variables: Methods, Models and Applications, Brescia, Italy, 19-21 Jun 2013,

This list was generated on Sun Apr 2 00:29:19 2023 BST.

Supervision