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.