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.
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Publisher's URL: https://people.maths.bris.ac.uk/~sw15190/IWSM2018/IWSM33-2.pdf
Abstract
This paper addresses the problem of fusing data from in-lake monitoring programmes with remote sensing data, through statistical downscaling. A Bayesian hierarchical model is developed, in order to fuse the in-lake and remote sensing data using spatially-varying coefficients. The model is applied to an example dataset of log(chlorophyll-a) data for Lake Erie, one of the Great Lakes of North America.
| Item Type: | Conference Proceedings |
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| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Scott, Professor Marian and Miller, Professor Claire and Wilkie, Dr Craig |
| Authors: | Wilkie, C., Miller, C., Scott, M., Simis, S., Groom, S., Hunter, P., Spyrakos, E., and Tyler, A. |
| College/School: | College of Science and Engineering > School of Mathematics and Statistics |
| Copyright Holders: | Copyright © 2018 The Authors |
| First Published: | First published in 33rd International Workshop on Statistical Modelling (IWSM 2018): 207-212 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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