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Handbook of Spatial Statistics

Edited by: Alan E. Gelfand , Peter J. Diggle , Montserrat Fuentes , Peter Guttorp

Print publication date:  March  2010
Online publication date:  March  2010

Print ISBN: 9781420072877
eBook ISBN: 9781420072884
Adobe ISBN:

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Book description

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 introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and spatial point patterns. The book also contains a section on space?time work as well as a section on important topics that build upon earlier chapters.

By collecting the major work in the field in one source, along with including an extensive bibliography, this handbook will assist future research efforts. It deftly balances theory and application, strongly emphasizes modeling, and introduces many real data analysis examples.

Table of contents

Chapter  1:  Historical Introduction Download PDF
Chapter  2:  Continuous Parameter Stochastic Process Theory Download PDF
Chapter  3:  Classical Geostatistical Methods Download PDF
Chapter  4:  Likelihood-Based Methods Download PDF
Chapter  5:  Spectral Domain Download PDF
Chapter  6:  Asymptotics for Spatial Processes Download PDF
Chapter  7:  Hierarchical Modeling with Spatial Data Download PDF
Chapter  8:  Low-Rank Representations for Spatial Processes Download PDF
Chapter  9:  Constructions for Nonstationary Spatial Processes Download PDF
Chapter  10:  Monitoring Network Design Download PDF
Chapter  11:  Non-Gaussian and Nonparametric Models for Continuous Spatial Data Download PDF
Chapter  12:  Discrete Spatial Variation Download PDF
Chapter  13:  Conditional and Intrinsic Autoregressions Download PDF
Chapter  14:  Disease Mapping Download PDF
Chapter  15:  Spatial Econometrics Download PDF
Chapter  16:  Spatial Point Process Theory Download PDF
Chapter  17:  Spatial Point Process Models Download PDF
Chapter  18:  Nonparametric Methods Download PDF
Chapter  19:  Parametric Methods Download PDF
Chapter  20:  Modeling Strategies Download PDF
Chapter  21:  Multivariate and Marked Point Processes Download PDF
Chapter  22:  Point Process Models and Methods in Spatial Epidemiology Download PDF
Chapter  23:  Continuous Parameter Spatio-Temporal Processes Download PDF
Chapter  24:  Dynamic Spatial Models Including Spatial Time Series Download PDF
Chapter  25:  Spatio-Temporal Point Processes Download PDF
Chapter  26:  Modeling Spatial Trajectories Download PDF
Chapter  27:  Data Assimilation Download PDF
Chapter  28:  Multivariate Spatial Process Models Download PDF
Chapter  29:  Misaligned Spatial Data: The Change of Support Problem Download PDF
Chapter  30:  Spatial Aggregation and the Ecological Fallacy Download PDF
Chapter  31:  Spatial Gradients and Wombling Download PDF
prelims Download PDF
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