Spatiotemporal Random Fields

Download Spatiotemporal Random Fields full books in PDF, epub, and Kindle. Read online free Spatiotemporal Random Fields ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Spatiotemporal Random Fields

Spatiotemporal Random Fields
Author :
Publisher : Elsevier
Total Pages : 698
Release :
ISBN-10 : 9780128030325
ISBN-13 : 0128030321
Rating : 4/5 (321 Downloads)

Book Synopsis Spatiotemporal Random Fields by : George Christakos

Download or read book Spatiotemporal Random Fields written by George Christakos and published by Elsevier. This book was released on 2017-07-26 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatiotemporal Random Fields: Theory and Applications, Second Edition, provides readers with a new and updated edition of the text that explores the application of spatiotemporal random field models to problems in ocean, earth, and atmospheric sciences, spatiotemporal statistics, and geostatistics, among others. The new edition features considerable detail of spatiotemporal random field theory, including ordinary and generalized models, as well as space-time homostationary, isostationary and hetrogeneous approaches. Presenting new theoretical and applied results, with particular emphasis on space-time determination and interpretation, spatiotemporal analysis and modeling, random field geometry, random functionals, probability law, and covariance construction techniques, this book highlights the key role of space-time metrics, the physical interpretation of stochastic differential equations, higher-order space-time variability functions, the validity of major theoretical assumptions in real-world practice (covariance positive-definiteness, metric-adequacy etc.), and the emergence of interdisciplinary phenomena in conditions of multi-sourced real-world uncertainty. - Contains applications in the form of examples and case studies, providing readers with first-hand experiences - Presents an easy to follow narrative which progresses from simple concepts to more challenging ideas - Includes significant updates from the previous edition, including a focus on new theoretical and applied results


Spatiotemporal Random Fields Related Books

Spatiotemporal Random Fields
Language: en
Pages: 698
Authors: George Christakos
Categories: Science
Type: BOOK - Published: 2017-07-26 - Publisher: Elsevier

DOWNLOAD EBOOK

Spatiotemporal Random Fields: Theory and Applications, Second Edition, provides readers with a new and updated edition of the text that explores the application
Random Field Models in Earth Sciences
Language: en
Pages: 503
Authors: George Christakos
Categories: Science
Type: BOOK - Published: 2013-10-22 - Publisher: Elsevier

DOWNLOAD EBOOK

This book is about modeling as a prinicipal component of scientific investigations. In general terms, modeling is the funamental process of combining intellectu
Spatiotemporal Analysis of Extreme Hydrological Events
Language: en
Pages: 194
Authors: Gerald Corzo
Categories: Science
Type: BOOK - Published: 2018-11-20 - Publisher: Elsevier

DOWNLOAD EBOOK

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologie
Random Fields for Spatial Data Modeling
Language: en
Pages: 884
Authors: Dionissios T. Hristopulos
Categories: Science
Type: BOOK - Published: 2020-02-17 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data analysis are integral
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Language: en
Pages: 284
Authors: Elias T. Krainski
Categories: Mathematics
Type: BOOK - Published: 2018-12-07 - Publisher: CRC Press

DOWNLOAD EBOOK

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochast