dc.creatorEmery, Xavier
dc.creatorAlegría, Alfredo
dc.date.accessioned2020-11-09T21:13:58Z
dc.date.available2020-11-09T21:13:58Z
dc.date.created2020-11-09T21:13:58Z
dc.date.issued2020
dc.identifierStochastic Environmental Research and Risk Assessment Aug 2020
dc.identifier10.1007/s00477-020-01855-4
dc.identifierhttps://repositorio.uchile.cl/handle/2250/177610
dc.description.abstractAn 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.
dc.languageen
dc.publisherSpringer
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceStochastic Environmental Research and Risk Assessment
dc.subjectAnisotropic covariance function
dc.subjectHausdorff dimension
dc.subjectMultifractal
dc.subjectSchoenberg sequence
dc.subjectTurning Arcs
dc.titleA spectral algorithm to simulate nonstationary random fields on spheres and multifractal star-shaped random sets
dc.typeArtículo de revista


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