Spatio-Temporal Methods in Environmental Epidemiology

Spatio-Temporal Methods in Environmental Epidemiology with R, Second Edition, explores the interface between environmental epidemiology and spatio-temporal modelling, linking recent developments in spatio-temporal theory with epidemiological applications. It provides clear guidelines for implementation and estimation of risks in practice, with new additions including knowledge discovery through data, Bayesian computation, spatio-temporal analysis, and an updated chapter containing further topics. The book also has a GitHub site with data, code, and further worked examples.

Format: Paperback / softback
Length: 395 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd

Spatio-Temporal Methods in Environmental Epidemiology with R, the second edition of its kind, delves into the intersection of environmental epidemiology and spatio-temporal modelling. It bridges the gap between recent advancements in spatio-temporal theory and their practical applications in epidemiology. By drawing on real-world scenarios, the book demonstrates how recent methodological advancements can assess the health risks associated with environmental hazards. The book's clear and concise guidelines facilitate the implementation of the methodology and the estimation of risks in real-world situations. The second edition introduces several new features, including: • A comprehensive exploration of the fundamental concepts behind knowledge discovery through data; • A dedicated chapter on extracting information from data using R and the Tidyverse; • Additional material on Bayesian computation, including the use of NIMBLE and Stan; • Novel methods for performing spatio-temporal analysis; and • An updated chapter covering additional topics. Throughout the book, there are numerous new examples, and the presentation of R code for examples has been expanded. Additionally, the book now features a GitHub site (https://spacetime-environ.github.io/stepi2) that provides data, code, and additional worked examples. Key Features: • Explores the interface between environmental epidemiology and spatio-temporal modelling; • Illustrates how spatio-temporal methodology can inform societal concerns about the effects of environmental hazards on health; • Utilizes a Bayesian foundation to develop an integrated approach to spatio-temporal modelling and environmental epidemiology; • Discusses data analysis and topics such as data visualization, mapping, wrangling, and analysis; • Demonstrates how to design networks for monitoring hazardous environmental processes and the adverse effects of pollution.

Weight: 739g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367783464