Fast and exact simulation of Gaussian random fields defined on the sphere cross time

被引:10
作者
Cuevas, Francisco [1 ,5 ]
Allard, Denis [2 ]
Porcu, Emilio [3 ,4 ]
机构
[1] Aalborg Univ, Dept Math Sci, Skjernvej 4A, DK-9220 Aalborg, Denmark
[2] INRA PACA, Biostat & Spatial Proc BioSP, F-84914 Avignon, France
[3] Newcastle Univ, Sch Math Stat & Phys, Newcaste Upon Tyne NE1 7RU, England
[4] Univ Atacama, Dept Math, Copiapo, Chile
[5] Univ Tecn Federico Santa Maria, Dept Matemat, Valparaiso, Chile
关键词
Circulant embedding; Fast Fourier transform; Gaussian random fields; Space-time simulation; COVARIANCE; MODELS;
D O I
10.1007/s11222-019-09873-1
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We provide a method for fast and exact simulation of Gaussian random fields on the sphere having isotropic covariance functions. The method proposed is then extended to Gaussian random fields defined over the sphere cross time and having covariance functions that depend on geodesic distance in space and on temporal separation. The crux of the method is in the use of block circulant matrices obtained working on regular grids defined over longitude and latitude.
引用
收藏
页码:187 / 194
页数:8
相关论文
共 23 条
[1]  
[Anonymous], 2018, ELECT J STAT
[2]  
Chiles J.P., 1999, Geostatistics: Modelling spatial uncertainty: Wiley interscience
[3]  
Coxeter H.S.M, 1973, Regular Polytopes
[4]   Fast generation of isotropic Gaussian random fields on the sphere [J].
Creasey, Peter E. ;
Lang, Annika .
MONTE CARLO METHODS AND APPLICATIONS, 2018, 24 (01) :1-11
[5]  
Davies TM, 2013, J STAT SOFTW, V55, P1
[6]  
Davis P. J., 1979, Circulant Matrices
[7]   A fast and exact method for multidimensional Gaussian stochastic simulations: Extension to realizations conditioned on direct and indirect measurements [J].
Dietrich, CR ;
Newsam, GN .
WATER RESOURCES RESEARCH, 1996, 32 (06) :1643-1652
[8]   Fast and exact simulation of stationary Gaussian processes through circulant embedding of the covariance matrix [J].
Dietrich, CR ;
Newsam, GN .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 1997, 18 (04) :1088-1107
[9]   An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields [J].
Emery, Xavier ;
Arroyo, Daisy ;
Porcu, Emilio .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2016, 30 (07) :1863-1873
[10]   Fast and exact simulation of large Gaussian lattice systems in R2:: Exploring the limits [J].
Gneiting, Tilmann ;
Sevcikova, Hana ;
Percival, Donald B. ;
Schlather, Martin ;
Jiang, Yindeng .
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2006, 15 (03) :483-501