Spatial Modelling and Scaling Error
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66085-6_23
Reference7 articles.
1. Andrianakis, I., & Challenor, P. G. (2012). The effect of the nugget on Gaussian process emulators of computer models. Computational Statistics & Data Analysis,56, 4215–4228. https://doi.org/10.1016/j.csda.2012.04.020
2. Diggle, P., & Ribeiro, P. J. (2007). Model-based geostatistics. Springer.
3. Diggle, P. J., Ribeiro Jr, P. J., & Christensen, O. F. (2003). An introduction to model-based geostatistics. In Spatial statistics and computational methods (pp. 43–86). Springer.
4. Hines, W. W., & Montgomery, D. C. (1990). Probability and statistics in engineering and management science (3rd ed.). Wiley.
5. Levy, P., Clement, R., Cowan, N., Keane, B., Myrgiotis, V., van Oijen, M., Smallman, T.L., Toet, S., & Williams, M. (2022). Challenges in scaling up greenhouse gas fluxes: Experience from the UK greenhouse gas emissions and feedbacks program. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006743. https://doi.org/10.1029/2021JG006743
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