Geostatistics –Modeling Spatial Uncertainty 2e MODELING SPATIAL UNCERTAINTY

Praise for the First Edition

". . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner." -Mathematical Geosciences

The state of the art in geostatistics

Geostatistical models and techniques such as kriging and stochastic multi-realizations exploit spatial correlations to evaluate natural resources, help optimize their development, and address environmental issues related to air and water quality, soil pollution, and forestry. Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field.

The authors explain both the theory and applications of geostatistics through a unified treatment that emphasizes methodology. Key topics that are the foundation of geostatistics are explored in-depth, including stationary and nonstationary models; linear and nonlinear methods; change of support; multivariate approaches; and conditional simulations. The Second Edition highlights the growing number of applications of geostatistical methods and discusses three key areas of growth in the field:
* New results and methods, including kriging very large datasets; kriging with outliers; nonse??parable space-time covariances; multipoint simulations; pluri-gaussian simulations; gradual deformation; and extreme value geostatistics
* Newly formed connections between geostatistics and other approaches such as radial basis functions, Gaussian Markov random fields, and data assimilation
* New perspectives on topics such as collocated cokriging, kriging with an external drift, discrete Gaussian change-of-support models, and simulation algorithms

Geostatistics, Second Edition is an excellent book for courses on the topic at the graduate level. It also serves as an invaluable reference for earth scientists, mining and petroleum engineers, geophysicists, and environmental statisticians who collect and analyze data in their everyday work.

Highly regarded for its approach to geostatistics as specific sets of models and techniques, Chiles and Delfiners first edition proved successful in presenting data and methods in a way that was approachable to practitioners as well as those new to the field. Over the seven years since the publication of this first edition, both the number of geostatisticians as well as the field itself have grown rapidly. This update on a classic first 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.