This text provides the applied scientist, engineer or statistician with an introduction to geostatistics stressing the multivariate aspects. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. The book presents a brief review of statistical concepts, an introduction to linear geostatistics and an account of three basic methods of multivariate analysis. Moreover, it presents an advanced presentation of linear models for multivariate spatial or temporal data, including the recent bilinear model of coregionalization, and an introduction to non-stationary geostatistics with a special focus on the external drift method.
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The third edition of this very successful text book provides an introduction to geostatistics stressing the multivariate aspects for scientists, engineers or statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. This book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of three methods of multivariate analysis. Moreover, it contains an advanced presentation of linear models for mulitvariate spatial or temporal data, of nonlinear models and methods for selection problems with change of support, as well as an introduction to non-stationary geostatistics with special focus on the external drift method. Applications from very different areas of science as well as exercices with solutions are provided to help convey the general ideas.Review:
SOME PRAISE FOR PREVIOUS EDITIONS:
"If you do geostatistics, you certainly should own [this book], because there are no competitors..."
"This is an introductory book on geostatistics (spatial statistics) with an emphasis on multivariate analysis of spatially indexed data. Explanations are intuitive, with graphical interpretations included where possible. Additionally, mathematical relationships are explained with uncommon clarity.''
–JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
"This book is an excellent modern introduction to geostatistics, which is one of the main branches of spatial statistics [...] this is a fine book for students of statistics, statisticians and well-informed engineers and geologists.”
"For a physical geodesist ... it is both informative and beneficial to learn about these marvelous techniques which have so much in common with the applied methods of our branch of science. What a great source of inspiration!”
–JOURNAL OF GEODESY
"The book is attractively finished and well printed ... the author's style is very readable. It should have an immediate appeal to geophysicists, hydrogeologists, engineering geologists and those mathematicians and physicists already engaged in stochastic modelling in the oil and gas industry.”
"... This book is an insightful introduction to linear geostatistics in general and multivariate geostatistics in particular, and provides a springboard to further study and research in this very interesting area.”
"The text is well structured and easy to read; the style is plain and appealing. It moves from practical intuitive ideas to their mathematical formulation in a straightforward and natural way.”
–COMPUTERS & GEOSCIENCES
``Without doubt the book will find an extensive readership including serious practitioners.''
–SHORT BOOK REVIEWS (INTERNATIONAL STATISTICAL INSTITUTE)
``Very often, comparisons are made between least squares prediction and collocation with kriging. [The book] is a must for all those scientists and engineers who want to know the similarities of both techniques applied to geosciences.''
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Descripción Springer, 1995. Hardcover. Estado de conservación: New. Nº de ref. de la librería P113540601279