Hierarchical Modeling and Analysis for Spatial Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

ISBN-13: 9781439819173

ISBN-10: 1439819173

Author: Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand

Edition: 2

Publication date:
2014
Publisher:
Chapman and Hall/CRC
Format:
Hardcover 584 pages
Category:
Statistics
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Summary

Acknowledged author Sudipto Banerjee wrote Hierarchical Modeling and Analysis for Spatial Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) comprising 584 pages back in 2014. Textbook and etextbook are published under ISBN 1439819173 and 9781439819173. Since then Hierarchical Modeling and Analysis for Spatial Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $26.86 or rent at the marketplace.


Description

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 on methods for multivariate and spatiotemporal modeling
  • New special topics sections on data fusion/assimilation and spatial analysis for data on extremes
  • Double the number of exercises
  • Many more color figures integrated throughout the text
  • Updated computational aspects, including the latest version of WinBUGS, the new flexible spBayes software, and assorted R packages

The Only Comprehensive Treatment of the Theory, Methods, and Software

This second edition continues to provide a complete treatment of the theory, methods, and application of hierarchical modeling for spatial and spatiotemporal data. It tackles current challenges in handling this type of data, with increased emphasis on observational data, big data, and the upsurge of associated software tools. The authors also explore important application domains, including environmental science, forestry, public health, and real estate.