Modelling spatial and spatial-temporal data: a Bayesian approach: by Robert Haining and Guangquan Li, 2019, CRC Press, Boca Raton, FL, ISBN: 978-1-4822-3742-9 (hardcover), pp. 608+xxvi, $129.95.

This well-written book is a good source for the Bayesian concepts and methods to practice the spatial-temporal analysis using R and WinBugs codes. Noteworthy features in this book are I aims of the book, structures of the book, heterogeneity, data sparsity, data versus parameter uncertainty, list of data sets used in the book, why it matters to map data i among others. Knowledge on statistical theory and regression concepts are essential to read, comprehend, appreciate, and use the rich contents of this fascinating book. [Extracted from the article]