Hierarchical Modeling and Analysis for Spatial Data

Book Details
• Book Name: Hierarchical Modeling and Analysis for Spatial Data (Second Edition)
• Language: English
• ISBN-13: 9780367488420
• Writer: Banerjee
• Book Edition: Second Edition
• Binding: Paperback
• Number of Pages: 584
• Release Date: 28-07-2014
• Publisher: CRC Press

Description:
The second edition of Hierarchical Modeling and Analysis for Spatial Data offers an expanded and updated treatment of the theory, methods, and applications of hierarchical modeling in spatial and spatiotemporal analysis. Since the publication of the first edition, the field of spatial statistics has seen remarkable growth, making this new edition more than twice the size of its predecessor.

Key updates include:
• A new chapter on spatial point patterns, focusing on modeling perspectives
• A new chapter on handling big data and predictive processes for large datasets
• A new chapter on spatial and spatiotemporal gradient modeling, incorporating recent developments in boundary analysis and wombling
• Expanded coverage on multivariate and spatiotemporal modeling methods
• New special topics on data fusion/assimilation and spatial analysis for extremes
• Updated chapters with more than double the number of exercises and color figures throughout
• Revised computational aspects, including the latest versions of WinBUGS, flexible spBayes software, and R packages

This comprehensive volume continues to address the challenges of analyzing spatial and spatiotemporal data, with an increased focus on observational data, big data, and emerging software tools. The authors also delve into practical applications in environmental science, forestry, public health, and real estate.

An essential resource for anyone working with spatial data analysis, from students to researchers and practitioners.