Spatial Analysis

by Kent, John T.; Mardia, Kanti V.

• ISBN13: 9780471632054
• ISBN10: 0471632058
• Edition: 1st
• Format: Hardcover
• Copyright: 2022-05-31
• Publisher: Wiley

Summary

This book provides insight into the statistical investigation of the interdependence of random variables as a function of their proximity in space and time. Interest in this area is being fuelled by the demand from emerging fields such as epidemiology, geology, and computer imaging to analyze complex spatial data.

Author Biography

John Kent is a Professor in the Department of Statistics at the University of Leeds, UK. He began his career as a research fellow at Sidney Sussex College, Cambridge before moving to the University of Leeds. He has published extensively on various aspects of statistics, including infinite divisibility, directional data analysis, multivariate analysis, inference, robustness, shape analysis, image analysis, spatial statistics, and spatial-temporal modelling.

Kanti Mardia is a Senior Research Professor and Leverhulme Emeritus Fellow in the Department of Statistics at the University of Leeds, and a Visiting Professor at the University of Oxford. During his career he has received many prestigious honours, including in 2003 the Guy Medal in Silver from the Royal Statistical Society, and in 2013 the Wilks memorial medal by the American Statistical Society. His research interests include bioinformatics, directional statistics, geosciences, image analysis, multivariate analysis, shape analysis, spatial statistics, and spatial-temporal modelling.

Kent and Mardia are also joint authors of a well-established monograph on Multivariate Analysis.

Table of Contents

Introduction; Stationery Random Fields; Intrinsic and Generalized Random Fields; Stochastic Models; Estimation of Spatial Structure; Kriging; Spatial Linear Model and Design for Experiments; Imaging Application