Hierarchical Modeling and Analysis for Spatial Data

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling

Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflects the major growth in spatial statistics as both a research area and an area of application.

New to the Second Edition

• New chapter on spatial point patterns developed primarily from a modeling perspective
• New chapter on big data that shows how the predictive process handles reasonably large datasets
• New chapter on spatial and spatiotemporal gradient modeling that incorporates recent developments in spatial boundary analysis and wombling
• New chapter on the theoretical aspects of geostatistical (point-referenced) modeling
• Greatly expanded chapters