Time Varying Isotropic Vector Random Fields on Spheres
Chunsheng Ma

TL;DR
This paper develops a new series representation for time-varying isotropic vector random fields on spheres, aiding modeling and simulation, and introduces semiparametric models for such fields.
Contribution
It derives a general covariance matrix function and a novel series representation involving ultraspherical polynomials for these vector fields.
Findings
Provides a new series representation useful for modeling and simulation
Derives a general form of the covariance matrix function
Illustrates semiparametric models for vector fields
Abstract
For a vector random field that is isotropic and mean square continuous on a sphere and stationary on a temporal domain, this paper derives a general form of its covariance matrix function and provides a series representation for the random field, which involve the ultraspherical polynomials. The series representation is somehow an imitator of the covariance matrix function, but differs from the the spectral representation in terms of the ordinary spherical harmonics, and is useful for modeling and simulation. Some semiparametric models are also illustrated.
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Taxonomy
TopicsSoil Geostatistics and Mapping · Remote Sensing and LiDAR Applications · Scientific Research and Discoveries
