In estimating spatial disease patterns, as well as in related assessments of environmental equity, regional morbidity and mortality rate maps are widely used. Hierarchical Bayes methods are increasingly popular tools for creating such maps, since they permit smoothing of the fitted rates toward spat
Spatio-temporal stationary covariance models
β Scribed by Chunsheng Ma
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 172 KB
- Volume
- 86
- Category
- Article
- ISSN
- 0047-259X
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We propose a spatial autoregressive random field of order p on the spatial domain R d for pX2 in this paper, whose univariate margins are the continuous-time autoregression of order p on the real line, and introduce a class of semiparametric spatio-temporal covariance models stationary in space with
A solvable coupled map lattice model exhibiting spatio-temporal chaos is studied. Exact expressions are obtained for the spectra of Lyapunov exponents as a function of the model parameters. Although the model has spatio-temporal structure, the time series measured at a single lattice site are shown