Geostatistics Modeling Spatial Uncertainty

ISBN-10: 0470183152

ISBN-13: 9780470183151

Edition: 2nd 2012

List price: $128.00
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Description:

This second edition of the classic text incldues data and methods in a way that is approachable to practitioners and those new to the field.This update edition removes information and data that have lost relevance with time, while maintaining timeless, core methods and integrating them with new developments to the field. The authors employ an applied focus on new aspects of the field of geostatistics including kernal methods, extreme values geostatistics, and modeling in geo-chronologic space. Along with providing updated information, the authors acknowledge the scientific and statistical challenges that stem from these new models, and stress the growth and promise that geostatistics can provide to these unanswered questions.
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Book details

List price: $128.00
Edition: 2nd
Copyright year: 2012
Publisher: John Wiley & Sons, Limited
Publication date: 4/19/2012
Binding: Hardcover
Pages: 734
Size: 6.75" wide x 9.75" long x 1.75" tall
Weight: 2.552
Language: English

Preface to the Second Edition
Preface to the First Edition
Abbreviations
Introduction
Types of Problems Considered
Description or Interpretation?
Preliminaries
Random Functions
On the Objectivity of Probabilistic Statements
Transitive Theory
Structural Analysis
General Principles
Variogram Cloud and Sample Variogram
Mathematical Properties of the Variogram
Regularization and Nugget Effect
Variogram Models
Fitting a Variogram Model
Variography in the Presence of a Drift
Simple Applications of the Variogram
Complements: Theory of Variogram Estimation and Fluctuation
Kriging
Introduction
Notations and Assumptions
Kriging with a Known Mean
Kriging with an Unknown Mean
Estimation of a Spatial Average
Selection of a Kriging Neighborhood
Measurement Errors and Outliers
Case Study: The Channel Tunnel
Kriging Under Inequality Constraints
Intrinsic Model of Order k
Introduction
A Second Look at the Model of Universal Kriging
Allowable Linear Combinations of Order k
Intrinsic Random Functions of Order k
Generalized Covariance Functions
Estimation in the IRF Model
Generalized Variogram
Automatic Structure Identification
Stochastic Differential Equations
Multivariate Methods
Introduction
Notations and Assumptions
Simple Cokriging
Universal Cokriging
Derivative Information
Multivariate Random Functions
Shortcuts
Space-Time Models
Nonlinear Methods
Introduction
Global Point Distribution
Local Point Distribution: Simple Methods
Local Estimation by Disjunctive Kriging
Selectivity and Support Effect
Multi-Gaussian Change-of-Support Model
Affine Correction
Discrete Gaussian Model
Non-Gaussian Isofactorial Change-of-Support Models
Applications and Discussion
Change of Support by the Maximum (C. Lantu�joul)
Conditional Simulations
Introduction and Definitions
Direct Conditional Simulation of a Continuous Variable
Conditioning by Kriging
Turning Bands
Nonconditional Simulation of a Continuous Variable
Simulation of a Categorical Variable
Object-Based Simulations: Boolean Models
Beyond Standard Conditioning
Additional Topics
Case Studies
Appendix
References
Index
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