Spatial Statistics and Geostatistics

Theory and Applications for Geographic Information Science and Technology

Daniel A Griffith author Yongwan Chun author

Format:Hardback

Publisher:Sage Publications Ltd

Published:21st Jan '13

Currently unavailable, and unfortunately no date known when it will be back

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Spatial Statistics and Geostatistics cover

This book offers a thorough examination of spatial statistics, ideal for students and researchers. Spatial Statistics and Geostatistics simplifies complex concepts through practical examples.

This book serves as a definitive resource on spatial statistics, authored by two prominent figures in the field. It provides a systematic overview of essential concepts that upper-level students and researchers need to grasp regarding spatial statistical and geostatistical methods. With a focus on practical understanding, Spatial Statistics and Geostatistics breaks down complex ideas into digestible explanations, supported by excellent examples utilizing R code. This hands-on approach allows readers to see how these methods are implemented in real-world scenarios.

The text delves into various components relevant to spatial statistics, including applications in ArcGIS, R, SAS, and WinBUGS. It covers fundamental techniques such as spatial sampling, spatial autocorrelation, local statistics, and spatial interpolation in two dimensions. Additionally, the book addresses advanced topics like Bayesian methods, Monte Carlo simulation, and considerations of error and uncertainty. Spatial Statistics and Geostatistics is designed for applied researchers across diverse fields, including geography, environmental science, health and epidemiology, population studies, and urban planning.

A companion website enhances the learning experience by providing digital R code for analyses discussed in specific chapters, along with relevant datasets to execute the R codes. This resource not only aids in understanding but also empowers readers to implement spatial statistical methods effectively in their own research endeavors.

This book is ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice.
Professor Tao Cheng
University College London

This text is a remarkable roadmap to the methods of spatial statistics and in particular, the technique of spatial filtering. The included case studies and computer code make the book extraordinarily interactive and will benefit both students and applied researchers across many disciplines.
W. Ryan Davis
PhD Candidate in Economics, University of Texas at Dallas

This is a valuable and enjoyable addition to applied spatial statistics, particularly because the reader, or rather user, of the book can see exactly what the authors are doing, and so may reproduce all the analyses using the code provided.
Professor Roger S. Bivand
Norges Handelshøyskole Norwegian School of Economics


SAGE has a long tradition of publishing accessible texts explaining key concepts in statistics. This book is in my opinion very useful. I particularly like the choice of statistical problems, the focus on one region to explain a series of problems and the availability of R code, which makes it easy for the reader to reproduce the analysis.

-- Sietse O Los

ISBN: 9781446201732

Dimensions: unknown

Weight: 410g

200 pages