Number of items: 14.
2023
Colombo, P., Miller, C. , O'Donnell, R. and Yang, X.
(2023)
A Multifidelity Framework for Wind Speed Data.
In: 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023,
ISBN 9783947323425
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 Mon Sep 25 15:36:09 2023 BST.
