0
Your cart

Your cart is empty

Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics

Buy Now

Geospatial Health Data - Modeling and Visualization with R-INLA and Shiny (Hardcover) Loot Price: R2,718
Discovery Miles 27 180
Geospatial Health Data - Modeling and Visualization with R-INLA and Shiny (Hardcover): Paula Moraga

Geospatial Health Data - Modeling and Visualization with R-INLA and Shiny (Hardcover)

Paula Moraga

Series: Chapman & Hall/CRC Biostatistics Series

 (sign in to rate)
Loot Price R2,718 Discovery Miles 27 180 | Repayment Terms: R255 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: Manipulating and transforming point, areal, and raster data, Bayesian hierarchical models for disease mapping using areal and geostatistical data, Fitting and interpreting spatial and spatio-temporal models with the integrated nested Laplace approximation (INLA) and the stochastic partial differential equation (SPDE) approaches, Creating interactive and static visualizations such as disease maps and time plots, Reproducible R Markdown reports, interactive dashboards, and Shiny web applications that facilitate the communication of insights to collaborators and policymakers. 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. The book provides clear descriptions of the R code for data importing, manipulation, modelling, and visualization, as well as the interpretation of the results. This ensures contents are fully reproducible and accessible for students, researchers and practitioners.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Biostatistics Series
Release date: November 2019
First published: 2020
Authors: Paula Moraga
Dimensions: 234 x 156 x 17mm (L x W x T)
Format: Hardcover
Pages: 274
ISBN-13: 978-0-367-35795-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > General
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
LSN: 0-367-35795-X
Barcode: 9780367357955

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners