Overview

Spatial statistics is one of the fastest growing areas in the statistics field and has applications across a wide range of disciplines. This analytical text takes a model-based approach and covers the theory and applications of all three major types of spatial data: geostatistical, lattice, and point pattern. This book is rich in applications incorporating discussions on important recent developments in the field, such as spatial models for nonstationary data, generalized linear model extensions to spatial data and Monte Carlo testing. The authors also incorporate the use of SAS for problem solving and make the relevant code and various data sets available for download from the publisher's website. This is a clearly written reference with the necessary background material from stochastic process theory included. Statisticians, ecologists, geologists, environment statisticians and biostatisticians, plus graduate students in these disciplines will find this an essential read.

Full Product Details

Author:   Oliver Schabenberger ,  Carol A. Gotway ,  Carol A. Gotway (National Center for Environmental Health, Georgia, USA) ,  Jim Zidek (University of British Columbia, Vancouver, Canada)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 17.80cm , Height: 3.20cm , Length: 25.40cm
Weight:   1.096kg
ISBN:  

9781584883227

ISBN 10:   1584883227
Pages:   506
Publication Date:   20 December 2004
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Reviews

...well-presented research-level text with interesting examples and an extensive reference list, much of which relates to work which has appeared during the last five years or so. International Statistics Institute, 2005 This book tackles spatial data analysis from a statistician's point of view. It provides a very natural bridge to spatial data analysis for the classically trained statistician who is familiar with linear models and the like. In terms of detail, it is at a very good level for its stated audience of a graduate class in spatial statistics; there is much useful information....The authors have made a tightly written and well-planned contribution that updates much relevant material and provides welcome and thoughtful advice. ...I have no hesitation in recommending it for a graduate class in spatial statistics, and it is a welcome addition to my library. -Journal of the Royal Statistical Society, Series A, Andrew Robinson, University of Melbourne This book provides an introduction to statistical methods for the analysis of spatial data. In a coherent manner, it presents statistical tools and approaches for analysis of three types of spatial data: geostatistical data, lattice data, and point patterns. ...The book is intended as a text for a graduate-level course in spatial statistics. I believe that it would be a suitable text for a variety of reasons. First of all, the book provides comprehensive coverage of statistical methods for geostatistical data, lattice data, and point patterns. Not many books on spatial statistics have this feature. ...The book has a nice balance of statistical theory, methodology, and applications, with an emphasis on statistical methods. It contains many concrete examples that illustrate both theory and methods. In illustrating the methods, real and interesting data examples are drawn from many disciplines such as agriculture, ecology, geology, epidemiology, and meteorology. ...This is a wonderful book that systematically introduces readers to spatial statistics. With a writing style that is illustrative, clear, thoughtful, and cogent, teachers and students alike should find it a delightful text for this diverse and exciting field. -Journal of the American Statistical Association, Jun Zhu, University of Wisconsin-Madison I enjoyed this book and I am sure that it is a valuable addition to the literature which should be widely read. - Stelios Zimeras, University of the Aegean, in Journal of Applied Statistics, Jan 2008, Vol. 35, No. 1

Author Information

Oliver Schabenberger, Carol A. Gotway

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