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 at geostatistics. --Journal of American Statistical Association
An introductory level text in geostatistics. Statistical concepts are presented in clear language and supported by numerous examples drawn from a large data set. Although the mathematics involved is at times rigorous, the methods presented can be assimilated by those without strong mathematical backgrounds. Will be of use to professionals working in geology and allied fields, as well as students in those areas. --The New York Public Library--New Technical Books
This book should be on every statistician's bookshelf. --Technometrics
This book is remarkable in the statistical literature and unique in geostatistics in that concepts and models are introduced from the needs of data analysis rather than from axioms or through formal derivations. Though academics will be rewarded with multiple challenges and seed ideas for new research work, the main public for this book will be undergraduates and pr