<P><EM>Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling</EM></P><P>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, <STRONG>Hierarchical Modeling and Analysis for Spatial Data, Second Edition</STRONG> reflects the major growth in spatial statistics as both a research area and an area of application.</P><P><EM>New to the Second Edition</EM></P><UL><P><LI>New chapter on spatial point patterns developed primarily from a modeling perspective</LI><LI>New chapter on big data that shows how the predictive process handles reasonably large datasets</LI><LI>New chapter on spatial and spatiotemporal gradient modeling that incorporates recent developments in spatial boundary analysis and wombling</LI><LI>New chapter on the theoretical aspects of geostatistical (point-referenced) modeling </LI><LI>Greatly expanded chapters
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