Books

This page contains links to interesting books containing supplementary datasets and R-code.

• • Spatial and Spatio-temporal Bayesian Models with R-INLA by Marta Blangiardo and Michela Cameletti

• Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Anaylysis with R-INLA, by Alain F Zuur et al,

• • Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume II: GAM and Zero-Inflated Models by Alain F Zuur et al.

• • Bayesian Regression Modelling with INLA, by Xiaofeng Wang, Yu Yue Ryan and Julian J Faraway,

• • Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

    • Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren and Håvard Rue.

• • • Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (CRC press page) by Paula Moraga.

• • • Bayesian inference with INLA, by Virgilio Gómez-Rubio, is a forthcoming book (CRC Press page) for which the current version is available as a github book.