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- W2495193779 abstract "This chapter provides an introduction to Bayesian spatial smoothing as a subject of interest in its own right, it points out the close relation between modelling interactions and spatial effects, and it extends smoothing and regression to geoadditive regression models. Section 5.1 introduces the different types of spatial data in more detail and provides information on the corresponding modelling techniques. Section 5.2 describes Markov random fields as basic stochastic process models for discrete spatial data. Section 5.3 highlights relations between continuous spatial smoothing approaches and the modelling of interactions. Section 5.4 introduces Gaussian random fields as stochastic process models for continuous spatial data, including their use in classical geostatistics. Section 5.5 incorporates ideas from the previous sections in the general framework of geoadditive regression." @default.
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- W2495193779 date "2011-04-28" @default.
- W2495193779 modified "2023-09-27" @default.
- W2495193779 title "Spatial Smoothing, Interactions and Geoadditive Regression" @default.
- W2495193779 doi "https://doi.org/10.1093/acprof:oso/9780199533022.003.0005" @default.
- W2495193779 hasPublicationYear "2011" @default.
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