Random Field Models in Earth Sciences - 1st Edition - ISBN: 9780121742300, 9781483288307

Random Field Models in Earth Sciences

1st Edition

Authors: George Christakos George Christakos
eBook ISBN: 9781483288307
Imprint: Academic Press
Published Date: 15th May 1992
Page Count: 474
Sales tax will be calculated at check-out Price includes VAT/GST
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
169.94
127.45
127.45
127.45
127.45
127.45
135.95
135.95
56.99
42.74
42.74
42.74
42.74
42.74
45.59
45.59
72.95
54.71
54.71
54.71
54.71
54.71
58.36
58.36
67.95
50.96
50.96
50.96
50.96
50.96
54.36
54.36
Unavailable
Price includes VAT/GST
× DRM-Free

Easy - Download and start reading immediately. There’s no activation process to access eBooks; all eBooks are fully searchable, and enabled for copying, pasting, and printing.

Flexible - Read on multiple operating systems and devices. Easily read eBooks on smart phones, computers, or any eBook readers, including Kindle.

Open - Buy once, receive and download all available eBook formats, including PDF, EPUB, and Mobi (for Kindle).

Institutional Access

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Description

This book is about modeling as a prinicipal component of scientific investigations. In general terms, modeling is the funamental process of combining intellectual creativity with physical knowledge and mathematical techniques in order to learn the properties of the mechanisms underlying a physical phenomenon and make predictions. The book focuses on a specific class of models, namely, random field models and certain of their physical applications in the context of a stochastic data analysis and processing research program. The term application is considered here in the sense wherein the mathematical random field model is shaping, but is also being shaped by, its objects.

Key Features

@introbul:Key Features @bul:* This book explores the application of random field models and stochastic data processing to problems in hydrogeology, geostatistics, climate modeling, and oil reservoir engineering, among others Researchers in the geosciences who work with models of natural processes will find discussion of;

  • Spatiotemporal random fields
  • Space transformation
  • Multidimensional estimation
  • Simulation
  • Sampling design
  • Stochastic partial differential equations

Readership

Researchers in geostatistics, geology, mining engineering, hyrdrology, environmental and ocean engineering, and climate modeling.

Table of Contents

Prolegomena. The Spatial Random Field Model. The Intrinsic Spatial Random Field Model. The Factorable Random Field Model. The Spatiotemporal Random Field Model. Space Transformations of Random Fields. Random Field Modeling of Natural Processes. Simulation of Natural Processes. Estimation in Space and Time. Sampling Design. References. Index.

Details

No. of pages:
474
Language:
English
Copyright:
© Academic Press 1992
Published:
Imprint:
Academic Press
eBook ISBN:
9781483288307

About the Author

George Christakos

George Christakos is a Professor in the Department of Geography at San Diego State University (USA) and in the Institute of Island & Coastal Ecosystems, Ocean College at Zhejiang University (China). He is an expert in spatiotemporal random field modeling of natural systems, and his teaching and research focus on the integrative analysis of natural phenomena; spatiotemporal random field theory; uncertainty assessment; pollution monitoring and control; human exposure risk and environmental health; space-time statistics and geostatistics.

Affiliations and Expertise

Professor, Dept of Geography, San Diego State University, US Professor, Institute of Island & Coastal Ecosystems, Ocean College, Zhejiang University, China

George Christakos

George Christakos is a Professor in the Department of Geography at San Diego State University (USA) and in the Institute of Island & Coastal Ecosystems, Ocean College at Zhejiang University (China). He is an expert in spatiotemporal random field modeling of natural systems, and his teaching and research focus on the integrative analysis of natural phenomena; spatiotemporal random field theory; uncertainty assessment; pollution monitoring and control; human exposure risk and environmental health; space-time statistics and geostatistics.

Affiliations and Expertise

Professor, Dept of Geography, San Diego State University, US Professor, Institute of Island & Coastal Ecosystems, Ocean College, Zhejiang University, China

Ratings and Reviews