Multivariate Geostatistics: An Introduction with Applications
Author | : | |
Rating | : | 4.93 (661 Votes) |
Asin | : | 3540441425 |
Format Type | : | paperback |
Number of Pages | : | 403 Pages |
Publish Date | : | 2015-01-09 |
Language | : | English |
DESCRIPTION:
Finally a readable book on the subject Really. I do like the pace, the detail and the structure of this book. It may not be as technical as some might like but I thought the level of explanations was great for someone new to the techniques.. "excellent book of my previous teacher Hans" according to abdelaziz moumou. I loved the book as I found it rich of valuable information about all the important aspects of multivariable analysis both statistically and geostatistically.I recommend Hans' book, my previous teacher, as all the theory has been either revised or invented by him and his colleagues.
SOME PRAISE FOR PREVIOUS EDITIONS:"If you do geostatistics, you certainly should own this book, because there are no competitors…"–TECHNOMETRICS"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. The book is a must for all those scientists and engineers who want to know the similarities of both techniques applied to geosciences.'' –GIS GEO-INFORMATIONS-SYSTEME. 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 read
The final section deals with non-stationary geostatistics.. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. This fully revised third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. The text contains a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of 3 basic methods of multivariate analysis. Applications from different areas of science, as well as exercises with solutions, are provided to help convey the general ideas. The introductory chapter has been divided into two separate sections for clarity