Spatial Modeling and Visualization Using R-INLA: Applications in Disease Risk Mapping and Species — Professional Development Continuing Education Course
ASA
In this course, we will learn how to develop spatial models using the R-INLA package to estimate disease risk, quantify risk factors, and predict species distributions. We will also learn how to create data visualizations such as interactive maps, and introduce presentation options such as interactive dashboards and Shiny web applications that facilitate the communication of insights to collaborators and policy makers. We will work through several fully reproducible examples of disease mapping and ecology applications using real-world data such as cancer in the USA, malaria in The Gambia, and sloths in Latin America. The course materials are drawn from the book 'Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny' by Paula Moraga (2019, Chapman & Hall/CRC). URL: https://www.paulamoraga.com/book-geospatial/. It is assumed participants are familiar with R and it is recommended a working knowledge of generalized linear models.
Instructor(s): Paula Moraga, King Abdullah University of Science and Technology
