A practical book focusing on advanced spatial modeling using SPDE's and R-INLA
All the examples in the book are fully reproducible.
Hardback copies of the book are available for pre-order from the CRC website.
A gentle general and applied introduction.
All examples in the book are fully reproducible and datasets and R code are available from the book website.
zip-file with code
``The book features fully reproducible examples of several disease and environmental applications using real-world data such as malaria in The Gambia, cancer in Scotland and USA, and air pollution in Spain. Examples in the book focus on health applications, but the approaches covered are also applicable to other fields that use georeferenced data including epidemiology, ecology, demography or criminology.''
``In Volume I we explain how to apply linear regression models, generalised linear models (GLM), and generalised linear mixed-effects models (GLMM) to spatial, temporal, and spatial-temporal data. The models that will be employed use the Gaussian and gamma distributions for continuous data, the Poisson and negative binomial distributions for count data, the Bernoulli distribution for absence–presence data, and the binomial distribution for proportional data.''