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In Applied Geostatistics the authors demonstrate how simple statistical methods can be used to analyse earth science data. In clear language, they explain how various forms of the estimation method called kriging can be employed for specific problems. A case study of a simulated deposit is the focus for the book. This model helps the student develop an understanding of how statistical tools work, serving as a tutorial to guide readers through their first independent geostatistical study.
Introduction; Univariate description; Bivariate description; Spatial description; The exhaustive dataset; The sample data set; The sample data set spatial continuity; Estimation; Random function models,; Global estimation; Point estimation; Ordinary Kriging; Block Kriging; Search strategy; Cross validation; Modelling the sample variogram; Cokriging; Estimating a distribution; Change of support; Assessing uncertainty; Final thoughts, appendices; Walker Lake datasets; Probabilistic models for continuous random variables
"The book is so easy to follow that many readers may not even need formal instruction and may find it suitable for self-tutoring. Those readers already proficient in geostatistics will enjoy reading about the authors' convictions on the subject. Honors for a well-produced book also go to Oxford University Press. I predict the volume will be a standard geostatistical reference for the decade." --Mathematical Geology
"An indispensable introductory and self-study book for the novice." --TGSA Today
"True to its title, this book describes applied geostatistical methods at an introductory level. It is an easy-to-read book, aimed at undergraduates and "practitioners" with some knowledge of calculus and elementary statistics. A sample from a single, large geographic data set is used to demonstrate techniques. The exhaustive data set provides true values, permitting comparisons of true and estimated values. . . .This book could be useful to nonstatisticians who are taking a first look
