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Random Field Models in Earth Sciences
- 1st Edition - October 22, 2013
- Author: George Christakos
- Language: English
- eBook ISBN:9 7 8 - 1 - 4 8 3 2 - 8 8 3 0 - 7
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… Read more
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Request a sales quoteThis 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.
@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
@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
Researchers in geostatistics, geology, mining engineering, hyrdrology, environmental and ocean engineering, and climate modeling.
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.
- No. of pages: 474
- Language: English
- Edition: 1
- Published: October 22, 2013
- Imprint: Academic Press
- eBook ISBN: 9781483288307
GC
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, San Diego State University, USA and Zhejiang University, ChinaRead Random Field Models in Earth Sciences on ScienceDirect