Spatiotemporal Random Fields

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

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  • Author : George Christakos
  • Publisher : Elsevier
  • Pages : 696 pages
  • ISBN : 0128030321
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSpatiotemporal Random Fields

Spatiotemporal Random Fields

Spatiotemporal Random Fields
  • Author : George Christakos
  • Publisher : Elsevier
  • Release : 26 July 2017
GET THIS BOOKSpatiotemporal Random Fields

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

Modern Spatiotemporal Geostatistics

Modern Spatiotemporal Geostatistics
  • Author : George Christakos
  • Publisher : Oxford University Press
  • Release : 30 November 2000
GET THIS BOOKModern Spatiotemporal Geostatistics

It is widely recognized that the techniques of classical geostatistics, which have been used for several decades, have reached their limit, and the time has come for some alternative approaches to be given a chance. This book, therefore, is an introduction to the fundamentals of modern geostatistics, which is a group of spatiotemporal concepts and methods that are the products of the advancement of the epistemic status of stochastic data analysis. The latter is considered from a novel perspective, promoting

Random Field Models in Earth Sciences

Random Field Models in Earth Sciences
  • Author : George Christakos
  • Publisher : Elsevier
  • Release : 22 October 2013
GET THIS BOOKRandom Field Models in Earth Sciences

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

Control of Spatially Structured Random Processes and Random Fields with Applications

Control of Spatially Structured Random Processes and Random Fields with Applications
  • Author : Ruslan K. Chornei,Hans Daduna,Pavel S. Knopov
  • Publisher : Springer Science & Business Media
  • Release : 03 September 2006
GET THIS BOOKControl of Spatially Structured Random Processes and Random Fields with Applications

This book is devoted to the study and optimization of spatiotemporal stochastic processes - processes which develop simultaneously in space and time under random influences. These processes are seen to occur almost everywhere when studying the global behavior of complex systems. The book presents problems and content not considered in other books on controlled Markov processes, especially regarding controlled Markov fields on graphs.

Random Fields for Spatial Data Modeling

Random Fields for Spatial Data Modeling
  • Author : Dionissios T. Hristopulos
  • Publisher : Springer Nature
  • Release : 17 February 2020
GET THIS BOOKRandom Fields for Spatial Data Modeling

This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data analysis are integral parts of many scientific and engineering disciplines. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis. The contents of the book include topics from classical statistics and random field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation, model inference, kriging-based prediction) and

Probabilistic and Stochastic Methods in Analysis, with Applications

Probabilistic and Stochastic Methods in Analysis, with Applications
  • Author : J.S. Byrnes,Kathryn A. Hargreaves,Karl Berry
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKProbabilistic and Stochastic Methods in Analysis, with Applications

Probability has been an important part of mathematics for more than three centuries. Moreover, its importance has grown in recent decades, since the computing power now widely available has allowed probabilistic and stochastic techniques to attack problems such as speech and image processing, geophysical exploration, radar, sonar, etc. -- all of which are covered here. The book contains three exceptionally clear expositions on wavelets, frames and their applications. A further extremely active current research area, well covered here, is the

Spatiotemporal Analysis of Extreme Hydrological Events

Spatiotemporal Analysis of Extreme Hydrological Events
  • Author : Gerald Corzo,Emmanouil Varouchakis
  • Publisher : Elsevier
  • Release : 20 November 2018
GET THIS BOOKSpatiotemporal Analysis of Extreme Hydrological Events

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network and evolutionary algorithms. This important resource for both hydrologists and statisticians interested in the framework of spatial and temporal analysis of hydrological events will provide users with an enhanced understanding

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus
  • Author : George Christakos,Dionissios Hristopulos
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOKSpatiotemporal Environmental Health Modelling: A Tractatus Stochasticus

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus provides a holistic, conceptual and quantitative framework for Environmental Health Modelling in space-time. The holistic framework integrates two aspects of Environmental Health Science that have been previously treated separately: the environmental aspect, which involves the natural processes that bring about human exposure to harmful substances; and the health aspect, which focuses on the interactions of these substances with the human body. Some of the fundamental issues addressed in this work include variability, scale,

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
  • Author : Elias T. Krainski,Virgilio Gómez-Rubio,Haakon Bakka,Amanda Lenzi,Daniela Castro-Camilo,Daniel Simpson,Finn Lindgren,Håvard Rue
  • Publisher : CRC Press
  • Release : 07 December 2018
GET THIS BOOKAdvanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matérn covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and

Quantitative Analysis and Modeling of Earth and Environmental Data

Quantitative Analysis and Modeling of Earth and Environmental Data
  • Author : Jiaping Wu,Junyu He,George Christakos
  • Publisher : Elsevier
  • Release : 04 December 2021
GET THIS BOOKQuantitative Analysis and Modeling of Earth and Environmental Data

Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while

Integrative Problem-Solving in a Time of Decadence

Integrative Problem-Solving in a Time of Decadence
  • Author : George Christakos
  • Publisher : Springer Science & Business Media
  • Release : 10 December 2010
GET THIS BOOKIntegrative Problem-Solving in a Time of Decadence

Presents a unique study of Integrative Problem-Solving (IPS). The consideration of 'Decadence' is essential in the scientific study of environmental and other problems and their rigorous solution, because the broad context within which the problems emerge can affect their solution. Stochastic reasoning underlines the conceptual and methodological framework of IPS, and its formulation has a mathematical life of its own that accounts for the multidisciplinarity of real world problems, the multisourced uncertainties characterizing their solution, and the different thinking modes

Advances in Contemporary Statistics and Econometrics

Advances in Contemporary Statistics and Econometrics
  • Author : Abdelaati Daouia,Anne Ruiz-Gazen
  • Publisher : Springer Nature
  • Release : 14 June 2021
GET THIS BOOKAdvances in Contemporary Statistics and Econometrics

This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will

Spatio-Temporal Statistics with R

Spatio-Temporal Statistics with R
  • Author : Christopher K. Wikle,Andrew Zammit-Mangion,Noel Cressie
  • Publisher : CRC Press
  • Release : 18 February 2019
GET THIS BOOKSpatio-Temporal Statistics with R

The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics with R provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the statistical methods using R Labs found at the end of each chapter. The book: Gives a step-by-step

Progress in Spatial Analysis

Progress in Spatial Analysis
  • Author : Antonio Páez,Julie Gallo,Ron N. Buliung,Sandy Dall'erba
  • Publisher : Springer Science & Business Media
  • Release : 30 October 2009
GET THIS BOOKProgress in Spatial Analysis

Space is increasingly recognized as a legitimate factor that influences many processes and conceptual frameworks, including notions of spatial coherence and spatial heterogeneity that have been demonstrated to provide substance to both theory and explanation. The potential and relevance of spatial analysis is increasingly understood by an expanding sphere of cogent disciplines that have adopted the tools of spatial analysis. This book brings together major new developments in spatial analysis techniques, including spatial statistics, econometrics, and spatial visualization, and applications