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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA by Daniela Castro-Camilo, Elias Krainski, Virgilio Gomez-Rubio, Daniel Simpson, Finn Lindgren, Haakon Bakka, Havard Rue, Amanda Lenzi (Paperback, 2020)
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Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. 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 Matern 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. 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: * Spatial and spatio-temporal models for continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio-temporal models * Measurement error spatial models * Modeling preferential sampling * Spatial and spatio-temporal models with physical barriers * Survival analysis with spatial effects * Dynamic space-time regression * Spatial and spatio-temporal models for extremes * Hurdle models with spatial effects * Penalized Complexity priors for spatial models All the examples in the book are fully reproducible. Further information about this book, as well as the R code and datasets used, is available from the book website at http://www.r-inla.org/spde-book. The tools described in this book will be useful to researchers in many fields such as biostatistics, spatial statistics, environmental sciences, epidemiology, ecology and others. Graduate and Ph.D. students will also find this book and associated files a valuable resource to learn INLA and the SPDE approach for spatial modeling.Product Identifiers
PublisherTaylor & Francis LTD
ISBN-139780367570644
eBay Product ID (ePID)8046719403
Product Key Features
Number of Pages284 Pages
LanguageEnglish
Publication NameAdvanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla
Publication Year2020
SubjectEngineering & Technology, Geography & Geosciences, Computer Science, Mathematics
TypeTextbook
AuthorDaniela Castro-Camilo, Elias Krainski, Virgilio Gomez-Rubio, Daniel Simpson, Finn Lindgren, Haakon Bakka, Havard Rue, Amanda Lenzi
FormatPaperback
Dimensions
Item Height234 mm
Item Weight417 g
Item Width156 mm
Additional Product Features
Country/Region of ManufactureUnited Kingdom
Title_AuthorDaniela Castro-Camilo, Havard Rue, Daniel Simpson, Amanda Lenzi, Finn Lindgren, Haakon Bakka, Elias Krainski, Virgilio Gomez-Rubio
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