Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA av Elias (Universidade Federal do Parana Curitivba Brazil) K

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<P>Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. <B>Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA</B> describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Mat¿ covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and real applications.</P><P></P><P>This book has been authored by leading experts in spatial statistics, including the main developers of the INLA and SPDE methodologies and the R-INLA package. It also includes a wide range of applications:</P><P></P><P>* Spatial and spatio-temporal models for continuous outcomes</P><P>* Analysis of spatial and spatio-temporal point patterns</P><P>* Coregionalization sp