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Mathematical Geosciences

, Volume 49, Issue 5, pp 677–678 | Cite as

Review of Hierarchical Modeling and Analysis for Spatial Data by Banerjee, S., Carlin, B. P., and Gelfand, A. E.

2nd Edition, 2015, CRC Press
  • Samuel SoubeyrandEmail author
Book Review

The second edition of Hierarchical Modeling and Analysis for Spatial Data is a nice, rich, and excellent book, which deserves to be read by students and researchers, especially those working in the area of geosciences, environmental sciences, public health, ecology, and epidemiology. This second edition builds on the strengths of the first edition and includes significant new chapters that make the book rather comprehensive.

This quite massive book (562 pages) can be used by advanced researchers in spatial statistics who want to approach domains beyond their set of knowledge (for instance, the chapter about Modeling and Analysis of Point Patterns offers a deep introduction to point processes for researchers working in other branches of spatial statistics). It can also be used by students and practitioners for acquiring basic knowledge in the field of spatial statistics and exploring the diverse ways for handling spatial and spatiotemporal data: the authors provide numerous...

Copyright information

© International Association for Mathematical Geosciences 2016

Authors and Affiliations

  1. 1.BioSP, INRAAvignonFrance

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