Statistical Methods for Spatial Data Analysis by Oliver Schabenberger

Statistical Methods for Spatial Data Analysis by Oliver Schabenberger

Offers a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. This book delivers a treatment of semivariogram estimation and modeling, spatial analysis in the spectral domain, and spatial regression.

"…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

Oliver Schabenberger, Carol A. Gotway

SKU	Unavailable
ISBN 13	9781584883227
ISBN 10	1584883227
Title	Statistical Methods for Spatial Data Analysis
Author	Oliver Schabenberger
Series	Chapman And Hall Crc Texts In Statistical Science
Condition	Unavailable
Binding Type	Hardback
Publisher	Taylor & Francis Inc
Year published	2004-12-20
Number of pages	506
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.