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
Edward H. Isaaks is a member of the Department of Applied Earth Sciences, Stanford University. R. Mohan Srivastava, formerly with the Department of Applied Earth Sciences, Stanford University, is currently at FSS International, Vancouver, British Columbia.
"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 practitioners who want to
add geostatistics to their own toolbox." --Jrnl. of Canadian
Petroleum Technology
An excellent book with insightful perspectives....Not only a
discussion of techniques, it also provides a sound research
methodology and a thorough example of analyzing real spatial
data....The book will be an enlightening one to...graduate students
and professional geographers....For the goals the book sets, the
authors have successfully conveyed their message. They are to be
congratulated for such a well-written book and for their
contribution to statistics
and science." --Geographical Analysis: An International Journal of
Theoretical Geography successfully written
"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 practitioners who want to
add geostatistics to their own toolbox." --Jrnl. of Canadian
Petroleum Technology
An excellent book with insightful perspectives....Not only a
discussion of techniques, it also provides a sound research
methodology and a thorough example of analyzing real spatial
data....The book will be an enlightening one to...graduate students
and professional geographers....For the goals the book sets, the
authors have successfully conveyed their message. They are to be
congratulated for such a well-written book and for their
contribution to statistics
and science." --Geographical Analysis: An International Journal of
Theoretical Geography successfully written
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