Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.The handbook begins with a historical intro

chapter 1|12 pages

Historical Introduction

part |2 pages

Part II

chapter 3|16 pages

Classical Geostatistical Methods

chapter 4|12 pages

Likelihood-Based Methods

chapter 5|22 pages

Spectral Domain

chapter 6|10 pages

Asymptotics for Spatial Processes

chapter 7|18 pages

Hierarchical Modeling with Spatial Data

chapter 10|18 pages

Monitoring Network Design

part |2 pages

Part III

chapter 12|30 pages

Discrete Spatial Variation

chapter 13|16 pages

Conditional and Intrinsic Autoregressions

chapter 14|28 pages

Disease Mapping

chapter 15|16 pages

Spatial Econometrics

part |2 pages

Part IV

chapter 16|20 pages

Spatial Point Process Theory

chapter 17|16 pages

Spatial Point Process Models

chapter 18|18 pages

Nonparametric Methods

chapter 19|22 pages

Parametric Methods

chapter 20|32 pages

Modeling Strategies

chapter 21|32 pages

Multivariate and Marked Point Processes

part |2 pages

Part V

chapter 25|14 pages

Spatio-Temporal Point Processes

chapter 26|14 pages

Modeling Spatial Trajectories

chapter 27|16 pages

Data Assimilation

part |2 pages

Part VI

chapter 28|22 pages

Multivariate Spatial Process Models

chapter 31|18 pages

Spatial Gradients and Wombling