Miss Mengyi Gong
- Honorary Research Fellow (School of Mathematics & Statistics)
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar and Clarity help us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
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)
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)
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.
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)
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)
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.