A spectral algorithm to simulate nonstationary random fields on spheres and multifractal star-shaped random sets
Abstract
An extension of the turning arcs algorithm is proposed for simulating a random field on the two-dimensional sphere with a second-order dependency structure associated with a locally varying Schoenberg sequence. In particular, the correlation range as well as the fractal index of the simulated random field, obtained as a weighted sum of Legendre waves with random degrees, may vary from place to place on the spherical surface. The proposed algorithm is illustrated with numerical examples, a by-product of which is a closed-form expression for two new correlation functions (exponential-Bessel and hypergeometric models) on the sphere, together with their respective Schoenberg sequences. The applicability of our findings is also described via the emulation of three-dimensional multifractal star-shaped random sets.
Más información
Título según WOS: | A spectral algorithm to simulate nonstationary random fields on spheres and multifractal star-shaped random sets |
Título de la Revista: | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT |
Volumen: | 34 |
Número: | 12 |
Editorial: | Springer |
Fecha de publicación: | 2020 |
Página de inicio: | 2301 |
Página final: | 2311 |
DOI: |
10.1007/S00477-020-01855-4 |
Notas: | ISI |