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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)

Wilkie, C., Miller, C. , Scott, M. , Simis, S., Groom, S., Hunter, P., Spyrakos, E. and Tyler, A. (2018) Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 207-212.

Gong, M., Miller, C. and Scott, M. (2018) Spatio-temporal Modelling of Remote-sensing Lake Surface Water Temperature Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 106-111.

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,

Wilkie, C. J., Scott, E. M. , Miller, C. , Tyler, A. N., Hunter, P. D. and Spyrakos, E. (2015) Data Fusion of Remote-sensing and In-lake chlorophylla Data Using Statistical Downscaling. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 123-126. (doi: 10.1016/j.proenv.2015.05.014)

Gong, M., Miller, C. and Scott, E. (2015) Functional PCA for Remotely Sensed Lake Surface Water Temperature Data. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 127-130. (doi: 10.1016/j.proenv.2015.05.015)

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)

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,

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