Geostatistics with Applications in Earth Sciences / Edition 2

by D.D. Sarma

Overview

Geostatistics is expanding very fast: concept- and technique-wise. Keeping in view the importance of the subject, it was thought appropriate to bring out the second edition of this book. In this process, Chapter I has been expanded In Chapter 2, incorporating more details on sampling and sampling designs. a section on simulation has been introduced with emphasis on Monte-Carlo simulation with worked out examples. In Chapter 5, a procedure to compute variogram in the case of irregular grid has been outlined. Minor modifications have been made in all other chapters. A new chapter on Introduction to Advanced Geostatistics has been introduced with discussions on universal kriging, disjunctive kriging, conditional simulation and median polish kriging. Review Questions are given at the end of each chapter to facilitate a better understanding of the subject by the student/practitioner. The software codes are put in a CD for convenience of the students/practitoner of geostatistics. A few additions have been made in the bibliography making it more exhaustive. This contains references to the concepts and methods presented, in-depth treatment of related topics and possible extensions. My grateful thanks are due to Dr. B.S. Saini, Principal, Guru Nanak Engg. College, Hyderabad for very helpful support. I hope that this edition will be a welcome one.

Product Details

ISBN-13:	9781402093791
Publisher:	Springer Netherlands
Publication date:	06/18/2009
Edition description:	Second Edition 2009
Pages:	206
Product dimensions:	6.30(w) x 9.70(h) x 0.60(d)

Table of Contents

Statistical Methods in Earth Sciences.- Univariate Statistical Methods, Frequency Analysis and Simulation.- Some Statistical Distributions.- Shastic Modelling (Time Series Analysis) and Forecasting.- Concepts of Regionalised Variables and Variogram Modelling.- Regularised Models, Volume-Variance Relationships and Economics.- The Concepts of Dispersion, Extension and Estimation Variances.- Kriging Variance and Kriging Procedure.- to Advanced Geostatistics.- Computer Software.