Statistical Methods for Spatial Data Analysis

Author:   Oliver Schabenberger (SAS Institute Inc., Cary, North Carolina, USA) ,  Carol A. Gotway (National Center for Environmental Health, Atlanta, Georgia, USA) ,  Carol A. Gotway (National Center for Environmental Health, Georgia, USA) ,  Jim Zidek (University of British Columbia, Vancouver, Canada)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032477916


Pages:   504
Publication Date:   21 January 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $92.99 Quantity:  
Add to Cart

Share |

Statistical Methods for Spatial Data Analysis


Add your own review!

Overview

Full Product Details

Author:   Oliver Schabenberger (SAS Institute Inc., Cary, North Carolina, USA) ,  Carol A. Gotway (National Center for Environmental Health, Atlanta, Georgia, USA) ,  Carol A. Gotway (National Center for Environmental Health, Georgia, USA) ,  Jim Zidek (University of British Columbia, Vancouver, Canada)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.848kg
ISBN:  

9781032477916


ISBN 10:   1032477911
Pages:   504
Publication Date:   21 January 2023
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction. Some theory on random fields. Mapped point patterns. Semivariogram and covariance function analysis and estimation. Spatial prediction and kriging. Spatial regression models. Simulation of random fields. Non-stationary covariance. Spatio-temporal processes.

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


"""…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

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List