A Gaussian Markov random field model for total yearly precipitation over the African Sahel
作者： Finn Lindgren , Johan Lindström
DOI:
关键词:
摘要: A spatio-temporal model is constructed to interpolate yearly precipitation data from 1982 1996 over the African Sahel. The used in analysis comes Global Historical Climatology Network. based on a Gaussian Markov random field approach with AR(1)-dependence time and spatial component modeled using an approximation of withMat´ern covariance. defined irregular grid segment sphere, both avoiding issue matching observations regularly spaced grid, handling curvature Earth. estimated chain Monte Carlo approach. formulation as allows for relatively efficient computations, even though has more than 3*10^4 nodes. (Less)
参考文章(29)
Peter J. Huber, Introduction to Metropolis, Rosenbluth, Rosenbluth, Teller, and Teller (1953) Equations of State Calculations by Fast Computing Machines. J. Chem. Phys .,21, 1087–1092. and Geman and Geman (1984) Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Trans. Pattern Anal. Machine Intelligence ,6, 721–741. Springer, New York, NY. pp. 123- 139 ,(1997) , 10.1007/978-1-4612-0667-5_6
G. E. P. Box, D. R. Cox, An Analysis of Transformations Journal of the Royal Statistical Society: Series B (Methodological). ,vol. 26, pp. 211- 243 ,(1964) , 10.1111/J.2517-6161.1964.TB00553.X
Birgir Hrafnkelsson, Noel Cressie, Hierarchical modeling of count data with application to nuclear fall-out Environmental and Ecological Statistics. ,vol. 10, pp. 179- 200 ,(2003) , 10.1023/A:1023674107629
Leonhard Held, Håvard Rue, Gaussian Markov Random Fields: Theory and Applications ,(2005)
CHRISTOPHER K. WIKLE, L. MARK BERLINER, NOEL CRESSIE, Hierarchical Bayesian space-time models Environmental and Ecological Statistics. ,vol. 5, pp. 117- 154 ,(1998) , 10.1023/A:1009662704779
R.S. Vose,, R.L. Schmoyer,, P.M. Steurer,, T.C. Peterson,, R. Heim,, T.R. Karl,, J.K. Eischeid,, The Global Historical Climatology Network: Long-term monthly temperature, precipitation, sea level pressure, and station pressure data Other Information: Environmental Sciences Division Publication No. 3912. ,(1992) , 10.3334/CDIAC/CLI.NDP041
Lennart Olsson, On the Causes of Famine - Drought, Desertification and Market Failure in the Sudan AMBIO: A Journal of the Human Environment. ,vol. 22, pp. 395- 404 ,(1993)
C.J. Tucker, C.L. Vanpraet, M.J. Sharman, G. Van Ittersum, Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel - 1980-1984 Remote Sensing of Environment. ,vol. 17, pp. 233- 249 ,(1985) , 10.1016/0034-4257(85)90097-5
David Bolin, Johan Lindström, Lars Eklundh, Finn Lindgren, Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields Computational Statistics & Data Analysis. ,vol. 53, pp. 2885- 2896 ,(2009) , 10.1016/J.CSDA.2008.09.017
Dani Gamerman, Ajax R.B. Moreira, Håvard Rue, Space-varying regression models: specifications and simulation Computational Statistics & Data Analysis. ,vol. 42, pp. 513- 533 ,(2003) , 10.1016/S0167-9473(02)00211-6