Paula Moraga: Spatial modeling and interactive visualization with the R-INLA package 

Lecturer: Paula Moraga. King Abdullah University of Science and Technology (KAUST)
Summary:
We will learn how to develop and interpret spatial models with R-INLA (www.r-inla.org), and how to create maps and other visualizations to facilitate the communication with collaborators and policymakers. The course is hands-on with three parts:
Introduction to geospatial data and R-INLA
Modeling areal data (lung cancer risk in Pennsylvania, USA)
Modeling geostatistical data (malaria prevalence in The Gambia)
We will focus on health applications but the methods covered are applicable to many other fields that deal with georeferenced data such as ecology, demography or criminology
Slides: www.paulamorag...
Installing R packages:
install.packages(c("sp", "spdep", "raster", "rgdal", "rgeos", "ggplot2", "leaflet", "DT", "dplyr", "SpatialEpi", "geoR"))
install.packages("INLA", repos = "inla.r-inla-do...", dep = TRUE)
References
Moraga, P. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. Chapman & Hall/CRC. ISBN 9780367357955 (2019). www.paulamorag...
How to cite this video:
doi.org/10.5446...