Geospatial Health Data: Modeling and Visualization with R-Inla and Shiny

ISBN-13: 9780367357955 / Angielski / Twarda / 2019 / 274 str.

Paula Moraga

Opis

This book shows how to model disease risk and quantify risk factors using areal and geostatistical data. It also shows how to create interactive maps of disease risk and risk factors, and describes how to build interactive dashboards and Shiny web applications that facilitate the communication of insights to collaborators and policy makers.

Recenzje

"The stress is on practical usage of INLA modelling in a spatial context and hence the author shows the full code for several carefully selected examples. Essentially all the steps from the beginning (necessary data manipulation and preparation) via INLA analysis itself (often in several alternatives) to the results (plots and maps) are explained carefully and commented. This is very useful for anybody who wants to start with the powerful INLA but did not dare to go through the very powerful but notalways- fully-documented environment." ~Marek Brabec, ISCB News

Spis treści

1. Geospatial health. 2. Spatial data and R packages for mapping. 3. Bayesian inference and INLA. 4. The R-INLA package. 5. Areal data. 6. Spatial modeling of areal data. 7. Spatio-temporal modeling of areal data. 8. Geostatistical data. 9. Spatial modeling of geostatistical data. 10. Spatio-temporal modeling of geostatistical data. 11. Introduction to R Markdown. 12. Building a dashboard to visualize spatial data with flexdashboard. 13. Introduction to Shiny. 14. Interactive dashboards with flexdashboard and Shiny. 15. Building a Shiny app to upload and visualize spatio-temporal data. 16. Disease surveillance with SpatialEpiApp.