Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA Krainski Elias T. Universidade Federal do Parana Curitivba BrazilPevná vazba

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and real applications.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. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matrn covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package.

It also includes a wide range of applications: * Spatial and spatio-temporal models for continuous