A Practical Primer On Geostatistics PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Practical Primer On Geostatistics PDF full book. Access full book title A Practical Primer On Geostatistics.

A Practical Primer on Geostatistics

A Practical Primer on Geostatistics
Author: Senior Scientist Ricardo a Olea
Publisher: Scholar's Choice
Total Pages:
Release: 2015-02-16
Genre:
ISBN: 9781297049736

Download A Practical Primer on Geostatistics Book in PDF, ePub and Kindle

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.


Practical geostatistics

Practical geostatistics
Author: Simon Houlding
Publisher: Springer Science & Business Media
Total Pages: 180
Release: 2000-06-08
Genre: Mathematics
ISBN: 9783540668206

Download Practical geostatistics Book in PDF, ePub and Kindle

Presents a set of linked HTML documents on the application of geostatistical theory, designed to be viewed and navigated with an Internet browser.


A Geostatistical Primer

A Geostatistical Primer
Author: Peter I Brooker
Publisher: World Scientific
Total Pages: 104
Release: 1991-02-22
Genre: Technology & Engineering
ISBN: 9813104414

Download A Geostatistical Primer Book in PDF, ePub and Kindle

This book is an introductory text on geostatistics which treats spatially distributed random data and can be applied to areas like ore reserve assessment, pollution problems, forestry applications and water resource problems. The underlying mathematical formalism of geostatistics is obscure to most geology majors who nowadays are increasingly expected to take a more quantitative approach to their discipline rather than the traditionally descriptive approach. The author has approached the teaching of geostatistics in a very pragmatic way via a two dimensional data set. Many figures illustrating concepts and results are given and mathematics is reduced to a minimum.


Geocomputation

Geocomputation
Author: Chris Brunsdon
Publisher: SAGE
Total Pages: 393
Release: 2015-01-22
Genre: Social Science
ISBN: 1473906318

Download Geocomputation Book in PDF, ePub and Kindle

Geocomputation is the use of software and computing power to solve complex spatial problems. It is gaining increasing importance in the era of the ‘big data’ revolution, of ‘smart cities’, of crowdsourced data, and of associated applications for viewing and managing data geographically - like Google Maps. This student focused book: Provides a selection of practical examples of geocomputational techniques and ‘hot topics’ written by world leading practitioners. Integrates supporting materials in each chapter, such as code and data, enabling readers to work through the examples themselves. Chapters provide highly applied and practical discussions of: Visualisation and exploratory spatial data analysis Space time modelling Spatial algorithms Spatial regression and statistics Enabling interactions through the use of neogeography All chapters are uniform in design and each includes an introduction, case studies, conclusions - drawing together the generalities of the introduction and specific findings from the case study application – and guidance for further reading. This accessible text has been specifically designed for those readers who are new to Geocomputation as an area of research, showing how complex real-world problems can be solved through the integration of technology, data, and geocomputational methods. This is the applied primer for Geocomputation in the social sciences.


A Geostatistical Primer

A Geostatistical Primer
Author: Peter I. Brooker
Publisher: World Scientific
Total Pages: 120
Release: 1991
Genre: Science
ISBN: 9789810205478

Download A Geostatistical Primer Book in PDF, ePub and Kindle

The data. Estimation.: Estimation regimes. Estimation variance. Kriging; Block variance. Clecking the variances. Estimation and selection. Further data sets. Numerical values of the data. Estimation in one dimension.


Solved Problems in Geostatistics

Solved Problems in Geostatistics
Author: Oy Leuangthong
Publisher: John Wiley & Sons
Total Pages: 145
Release: 2011-09-20
Genre: Mathematics
ISBN: 1118210514

Download Solved Problems in Geostatistics Book in PDF, ePub and Kindle

This unique book presents a learn-by-doing introduction to geostatistics. Geostatistics provides the essential numerical tools for addressing research problems that are encountered in fields of study such as geology, engineering, and the earth sciences. Illustrating key methods through both theoretical and practical exercises, Solved Problems in Geostatistics is a valuable and well-organized collection of worked-out problems that allow the reader to master the statistical techniques for modeling data in the geological sciences. The book's scope of coverage begins with the elements from statistics and probability that form the foundation of most geostatistical methodologies, such as declustering, debiasing methods, and Monte Carlo simulation. Next, the authors delve into three fundamental areas in conventional geostatistics: covariance and variogram functions; kriging; and Gaussian simulation. Finally, special topics are introduced through problems involving utility theory, loss functions, and multiple-point geostatistics. Each topic is treated in the same clearly organized format. First, an objective presents the main concepts that will be established in the section. Next, the background and assumptions are outlined, supplying the comprehensive foundation that is necessary to begin work on the problem. A solution plan demonstrates the steps and considerations that have to be taken when working with the exercise, and the solution allows the reader to check their work. Finally, a remarks section highlights the overarching principles and noteworthy aspects of the problem. Additional exercises are available via a related Web site, which also includes data related to the book problems and software programs that facilitate their resolution. Enforcing a truly hands-on approach to the topic, Solved Problems in Geostatistics is an indispensable supplement for courses on geostatistics and spatial statistics a the upper-undergraduate and graduate levels.It also serves as an applied reference for practicing professionals in the geosciences.


Practical Geostatistics

Practical Geostatistics
Author: Isobel Clark
Publisher: Elsevier Science & Technology
Total Pages: 152
Release: 1979
Genre: Science
ISBN:

Download Practical Geostatistics Book in PDF, ePub and Kindle

The semi-variogram; The volume-variance relationship; Estimation; Kriging; Practice.


Introduction to Geostatistics

Introduction to Geostatistics
Author: P. K. Kitanidis
Publisher: Cambridge University Press
Total Pages: 276
Release: 1997-05-13
Genre: Science
ISBN: 9780521587471

Download Introduction to Geostatistics Book in PDF, ePub and Kindle

Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a synthesis of classic and geostatistical methods with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. The author includes many useful methods (often not covered in other geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex cases (e.g. anisotropy, variable mean, and multiple variables), and using information from deterministic mathematical models. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering, and also for self-study.


Geostatistics

Geostatistics
Author: Jean-Paul Chilès
Publisher: John Wiley & Sons
Total Pages: 718
Release: 2009-09-25
Genre: Mathematics
ISBN: 0470317833

Download Geostatistics Book in PDF, ePub and Kindle

A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: * Reviews the most up-to-date geostatistical methods and the types of problems they address. * Emphasizes the statistical methodologies employed in spatial estimation. * Presents simulation techniques and digital models of uncertainty. * Features more than 150 figures and many concrete examples throughout the text. * Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.