Bayesian Modeling of Spatio-Temporal Data with R, First Edition

What you’ll find inside

Bayesian Modeling of Spatio-Temporal Data with R, First Edition by Sujit K. Sahu introduces statistical modeling for data that vary across both location and time. The book is part of the Chapman & Hall/CRC Interdisciplinary Statistics series and is aimed at students and researchers in statistics and applied fields. It combines explanations of Bayesian modeling with examples implemented in R, providing a path from exploratory work with spatial data to estimation, model checking and prediction.

Methods and worked examples

The opening chapters introduce types of spatial and spatio-temporal data, exploratory analysis and core Bayesian ideas. Later material covers computation, models for point-referenced data, spatial time series, areal-unit data and forecasting. The contents include subjects such as Gaussian processes, spatial smoothing, conditional autoregressive models and point processes. The publisher describes an accompanying R package, bmstdr, and examples that use other established R tools. Data and code notes are designed to help readers follow how the book’s tables and figures are produced.

Who may find it useful?

Graduate students, statisticians and applied researchers working with environmental, climate, biological, demographic, economic or other location-based data may use the text as a study resource. Readers benefit from prior familiarity with statistics, Bayesian ideas and R, even though the publisher presents the material as a bridge for applied researchers rather than only as a theory reference. The book combines a methodological foundation with practical case studies, so it can support both course reading and independent exploration of a modeling question.

Edition and digital format

This listing presents Bayesian Modeling of Spatio-Temporal Data with R, First Edition as a PDF ebook. Four sample images provide a quick look at the page layout before you choose. Compare the title, author and edition with your course or reference list, and check that the file format works with your reading app. Publisher platform access, courseware, access codes and companion resources are included only when specifically stated with this product.

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