Intrinsic Random Functions on the sphere

2016/06/06 by Chunfeng Huang, Huang, Chunfeng, Haimeng Zhang +5
Environmental Science · Earth and Planetary Sciences · #Soil Geostatistics and Mapping #Plant Water Relations and Carbon Dynamics #Cryospheric studies and observations

paper · pdf · doi:10.48550/arxiv.1606.01950

Abstract

Spatial stochastic processes that are modeled over the entire Earth's surface require statistical approaches that directly consider the spherical domain. Here, we extend the notion of intrinsic random functions (IRF) to model non-stationary processes on the sphere and show that low-frequency truncation plays an essential role. Then, the universal kriging formula on the sphere is derived. We show that all of these developments can be presented through the theory of reproducing kernel Hilbert space. In addition, the link between universal kriging and splines is carefully investigated, whereby we show that thin-plate splines are non-applicable for surface fitting on the sphere.

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