Spatial Statistics through Applications

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Overview

Based on a detailed course held early in 1999, this book provides a definitive treatment of spatial statistics for professionals, postgraduate students and researchers working environmental and other experimental areas. A basic introduction to probability and statistics and to statistical software is followed by a review of advanced statistical techniques. Topics covered include spatial point processes, c ter intensive methods, spatial environmental epidemiology, model-based geostrategic, prediction and dynamic linear models, generalized linear models, and image analysis.
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Product Details

Table of Contents

Foreword
Introduction to spatial statistics and its applications
Ch. 1 A spatial perspective on decision-making methods and processes 1
Ch. 2 Perfect simulation in spatial statistics 23
Ch. 3 Spatial point processes: an overview 43
Ch. 4 Spatial interpolation of environmental processes 71
Ch. 5 Nonparametric nearest neighbour variogram estimation 105
Ch. 6 Semi-parametric statistical approaches for space-time process prediction. Some applications 129
Ch. 7 Extreme value analysis of wind speed in Great Britain 149
Ch. 8 Modelling extreme rainfall events 177
Ch. 9 Statistical methods for field analysis used in climatology 205
Ch. 10 Bayesian approach for investigating the relationship between road traffic pollution and asthma among children 241
Ch. 11 Analysis of cancer mortality via spatial point processes 267
Ch. 12 An application of marked point processes to the extraction of linear networks from images 289
Ch. 13 Statistical tools for spatial ecomonics 315
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