Spatial Statistics through Applications

About this book

Definitive treatment of spatial statistics covering spatial point processes, computer intensive methods, spatial environmental epidemiology, model-based geostatistics, prediction and dynamic linear models, generalized linear models, and image analysis.

Contents

Introduction to spatial statistics and its applications. Part I general and methodological issues: A spatial perspective on decision-making methods and processes; Perfect simulation in spatial statistics; Spatial point processes - an overview. Part II - Environmental applications and climate issues: Spatial interpolation of environmental processes; Nonparametric nearest neighbour variogram estimation; Semi-parametric statistical approaches for space-time process prediction, Some applications; Extreme value analysis of wind speed in Great Britain; Modelling extreme rainfall events; Statistical methods for field analysis used in climatology. Par III - Epidemiology and point processes issues Bayesian approach for investigating the relationship between road traffic pollution and asthma among children; Analysis of cancer mortality via spatial point processes; An application of marked point processes to the extraction of linear networks from images; Statistical tools for spatial ecomonics.

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