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"Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal " by Matthew Sainsbury-Dale, Andrew Zammit- Mangion et al.

Non-Gaussian spatial and spatio-temporal data are becoming increasingly prevalent, and their analysis is needed in a variety of disciplines. FRK is an R package for spatial and spatio-temporal modeling and prediction with very large data sets that, to date, has only supported linear process models and Gaussian data models. In this paper, we describe a major upgrade to FRK that allows for non-Gaussian data to be analyzed in a generalized linear mixed model framework. These vastly more general spa...
Areal Data Basis Functions Big Data Hange Of Support Ixed Rank Kriging On Gaussian Data
Source: uow.edu.au

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