Lecturer: Paula Moraga. King Abdullah University of Science and Technology (KAUST)

Summary:
We will learn how to develop and interpret spatial models with RINLA (http://www.rinla.org), and how to create maps and other visualizations to facilitate the communication with collaborators and policymakers. The course is handson with three parts:
Introduction to geospatial data and RINLA
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: https://www.paulamoraga.com/presentat...

Installing R packages:
install.packages(c("sp", "spdep", "raster", "rgdal", "rgeos", "ggplot2", "leaflet", "DT", "dplyr", "SpatialEpi", "geoR"))
install.packages("INLA", repos = "https://inla.rinladownload.org/R/st...", dep = TRUE)

References
Moraga, P. Geospatial Health Data: Modeling and Visualization with RINLA and Shiny. Chapman & Hall/CRC. ISBN 9780367357955 (2019). https://www.paulamoraga.com/bookgeos...

How to cite this video:
http://doi.org/10.5446/49545