books about: geostatistics (environmental hydrogeology)

books about: geostatistics

books:

Environmental Soil-Landscape Modeling: Geographic Information Technologies and Pedometrics (Books in Soils, ...

CRC Press, 2005

Environmental Soil-Landscape Modeling: Geographic Information Technologies and Pedometrics presents the latest methodological developments in soil-landscape modeling. It analyzes many recently developed measurement tools, and explains computer-related and pedometric techniques that are invaluable in the modeling process. This volume provides an in-depth overview of the history of soil-landscape modeling. By uniting the work of soil ...

Geostatistical Reservoir Modeling
Clayton V. Deutsch

Oxford University Press, USA, 2002

This book brings the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasizes the interaction between geophysicists, geologists, and engineers. Intended as a reference text for practitioners, the book is also appropriate for "short courses" and advanced undergraduate or graduate courses in reservoir characterization.

Error Propagation in Environmental Modelling with GIS (Research Monographs in GIS)
Gerard B.M. Heuvelink

CRC Press, 1998

GIS users and professionals are aware that the accuracy of GIS results cannot be naively based on the quality of the graphical output. Data stored in a GIS will have been collected or measured, classified, generalised, interpreted or estimated, and in all cases this allows the introduction of errors.; With the processing of translation of this data into the GIS itself further propagation or amplification or errors also occur. It is essential ...

Applied Geostatistics with SGeMS, ...

Cambridge University Press, 2009

The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses ...

Random Field Models in Earth Sciences (Dover Books on Science)
George Christakos

Dover Publications, 2005

This graduate-level text explores problems in earth sciences in which the random field model constitutes an effective approach. A critical and concise summary of the fundamental concepts and results of the general random field theory is followed by considerations of the intrinsic spatial random field model, and more. 103 figures. 16 tables.

Evaluation of Mineral Reserves: A Simulation Approach (Applied Geostatistics Series)
Andre G. Journel, Phaedon C. Kyriakidis

Oxford University Press, USA, 2004

This book addresses the practice of geostatistical simulation to evaluation of mineral reserves, prediction of recovered tonnages and mineral grades and the impact of mining dilution. Such prediction is absolutely critical for mine planning and investment decisions, yet it cannot be made on maps directly interpolated from present data. Various dilution factors need to be introduced to account for · the support effect: mining unit volumes are ...

Applied Geostatistics for Reservoir Characterization
Mohan, Ph.D. Kelkar, Godofredo Perez, ...

Society of Petroleum, 2002

Multivariate Geostatistics
Hans Wackernagel

Springer, 2003

This fully revised third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. The text contains a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of 3 basic methods of ...

Model-based Geostatistics (Springer Series in Statistics)
Peter Diggle, Paulo Justiniano Ribeiro

Springer, 2010

This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' software package, geoR, ...

Geostatistics Explained: An Introductory Guide for Earth Scientists
Steve McKillup, Melinda Darby Dyar

Cambridge University Press, 2010

A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type ...

Geostatistical Simulation: Models and Algorithms
Christian Lantuejoul

Springer, 2001

This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA ...

Spatial Data Analysis in the Social and Environmental Sciences
Robert Haining

Cambridge University Press, 1993

A spatial data set is a data set in which each observation is referenced to a site or area. Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book, therefore, is to describe to students and research workers in the social and environmental sciences the current methods available for the analyses of spatial data. Methods ...

Local Models for Spatial Analysis
Christopher D. Lloyd

CRC Press, 2006

In both the physical and social sciences, there are now available large spatial data sets with detailed local information. Global models for analyzing these data are not suitable for investigating local variations; consequently, local models are the subject of much recent research. Collecting a variety of models into a single reference, Local Models for Spatial Analysis explains in detail a variety of approaches for analyzing univariate and ...

Key Methods in Geography

SAGE Publications Ltd, 2003

Key Methods in Geography is an introduction for undergraduates to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It provides an accessible primer, which will be used by students as a reference throughout their degree, on all issues from research design to presentation. A unique feature of the book is that it provides definitions of terms from both human geography and ...

Vadose Zone Processes
John S. Selker, James T. McCord, ...

CRC Press, 1999

Vadose Zone Processes provides a unified, up-to-date treatment on the movement of water through unsaturated media. In addition to covering the basic equations governing the flow and fate of water in unsaturated media, the text covers the biogeochemistry of vadose environments and the statistical description of vadose processes. The authors emphasize maintaining an intuitive understanding of how the results are derived and how they are ...

Introduction to Disjunctive Kriging and Non-Linear Geostatistics (Spatial Information Systems)
Jacques Rivoirard

Oxford University Press, USA, 1994

Linear geostatistics is a fast developing field of research and its principles are extended over other fields of activity. Tools such as the variogram and kriging are now in everyday use for estimating the mean grade of material in an area from values achieved from measured samples. Non-linear geostatistics is at the fore-front of statistical development, it has a potential application over a wide range of practical problems and is likely to ...

Precision Agriculture: Spatial and Temporal Variability of Environmental Quality (Novartis Foundation ...
CIBA Foundation Symposium

Wiley, 1997

This book investigates new agricultural systems such as organic and green manuring, as well as integrated pest management practices, and looks at how they can improve farm productivity against the enhancements for the environment. Much of the information presented focuses on microinvestigation of the soil, and on the effects of soil variability within fields on yields and nutrient flows.

Introduction to Geostatistics: Applications in Hydrogeology
P. K. Kitanidis

Cambridge University Press, 1997

Introduction to Geostatistics presents practical techniques for engineers and earth scientists who routinely encounter interpolation and estimation problems when analyzing data from field observations. Requiring no background in statistics, and with a unique approach that synthesizes classic and geostatistical methods, this book offers linear estimation methods for practitioners and advanced students. Well illustrated with exercises and worked ...

GSLIB: Geostatistical Software Library and User's Guide
Clayton V. Deutsch, Andre G. Journel

Oxford University Press, USA, 1993

Geostatistics can be defined as the statistical study of phenomena that fluctuate in space and time. Originally the objective of the field was to improve forecasts of ore grade and reserves, but the mathematical generality of the approach has led to the application of geostatistics to other areas, ranging from pest control to pollution monitoring and petroleum reservoir characterization. GSLIB provides a source code that can be used as a ...