Statistical Methods for Spatio Temporal Systems

Statistical Methods for Spatio Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical ...

Author: Barbel Finkenstadt

Publisher: CRC Press

ISBN: 9781420011050

Category: Mathematics

Page: 286

View: 409

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by leading researchers in the field, each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis, gastroenteric disease, and the U.K. foot-and-mouth outbreak, the first chapter uses stochastic models, such as point process models, to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems, such as bacteria colonies, tumors, and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data, followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use, such as flood risk assessment. The final chapter explores Gaussian Markov random field specifications and Bayesian computational inference via Gibbs sampling and Markov chain Monte Carlo, illustrating the methods with a variety of data examples, such as temperature surfaces, dioxin concentrations, ozone concentrations, and a well-established deterministic dynamical weather model.
Categories: Mathematics

Statistics for Spatio Temporal Data

Statistics for Spatio Temporal Data

A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winners of the ...

Author: Noel Cressie

Publisher: John Wiley & Sons

ISBN: 9781119243045

Category: Mathematics

Page: 624

View: 613

Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes,bridging classic ideas with modern hierarchical statisticalmodeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winnersof the 2011 PROSE Award in the Mathematics category, for thebook “Statistics for Spatio-Temporal Data” (2011),published by John Wiley and Sons. (The PROSE awards, forProfessional and Scholarly Excellence, are given by the Associationof American Publishers, the national trade association of the USbook publishing industry.) Statistics for Spatio-Temporal Data has now beenreprinted with small corrections to the text andthe bibliography. The overall content and pagination of thenew printing remains the same; the difference comes inthe form of corrections to typographical errors, editing ofincomplete and missing references, and some updated spatio-temporalinterpretations. From understanding environmental processes and climate trends todeveloping new technologies for mapping public-health data and thespread of invasive-species, there is a high demand for statisticalanalyses of data that take spatial, temporal, and spatio-temporalinformation into account. Statistics for Spatio-TemporalData presents a systematic approach to key quantitativetechniques that incorporate the latest advances in statisticalcomputing as well as hierarchical, particularly Bayesian,statistical modeling, with an emphasis on dynamical spatio-temporalmodels. Cressie and Wikle supply a unique presentation thatincorporates ideas from the areas of time series and spatialstatistics as well as stochastic processes. Beginning with separatetreatments of temporal data and spatial data, the book combinesthese concepts to discuss spatio-temporal statistical methods forunderstanding complex processes. Topics of coverage include: Exploratory methods for spatio-temporal data, includingvisualization, spectral analysis, empirical orthogonal functionanalysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging,and time series of spatial processes Development of hierarchical dynamical spatio-temporal models(DSTMs), with discussion of linear and nonlinear DSTMs andcomputational algorithms for their implementation Quantifying and exploring spatio-temporal variability inscientific applications, including case studies based on real-worldenvironmental data Throughout the book, interesting applications demonstrate therelevance of the presented concepts. Vivid, full-color graphicsemphasize the visual nature of the topic, and a related FTP sitecontains supplementary material. Statistics for Spatio-TemporalData is an excellent book for a graduate-level course onspatio-temporal statistics. It is also a valuable reference forresearchers and practitioners in the fields of applied mathematics,engineering, and the environmental and health sciences.
Categories: Mathematics

Statistical Analysis of Spatial and Spatio Temporal Point Patterns Third Edition

Statistical Analysis of Spatial and Spatio Temporal Point Patterns  Third Edition

Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data.

Author: Peter J. Diggle

Publisher: CRC Press

ISBN: 9781466560246

Category: Mathematics

Page: 268

View: 229

Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author’s website.
Categories: Mathematics

Spatial and Spatio temporal Bayesian Models with R INLA

Spatial and Spatio temporal Bayesian Models with R   INLA

Spatio-temporal modeling of particulate matter concentration through the SPDE
approach. Advances in Statistical ... In B. Finkenstädt, L. Held, and V. Isham,
editors, Statistical Methods for Spatio-temporal Systems, pp. 151–175. CRC
Press ...

Author: Marta Blangiardo

Publisher: John Wiley & Sons

ISBN: 9781118326558

Category: Mathematics

Page: 320

View: 200

Spatial and Spatio–Temporal Bayesian Models with R–INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio­–temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R–INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations
Categories: Mathematics

Spatio temporal Approaches

Spatio temporal Approaches

Statistical. Approaches. This chapter is dedicated to the presentation of spatio-
temporal approaches that rely on statistical methods (descriptive or explanatory)
to analyze changes that occur over the geographical space and in spatial
systems.

Author: Hélène Mathian

Publisher: John Wiley & Sons

ISBN: 9781848215528

Category: Science

Page: 176

View: 825

Spatio-temporal Approaches presents a well-built set of concepts, methods and approaches, in order to represent and understand the evolution of social and environmental phenomena within the space. It is basedon examples in human geography and archeology (which will enable us to explore questions regarding various temporalities) and tackles social and environmental phenomena. Chapter 1 discusses how to apprehend change: objects, attributes, relations, processes. Chapter 2 introduces multiple points of view about modeling and the authors try to shed a new light on the different, but complementary approaches of geomaticians and thematicians. Chapter 3 is devoted to the construction of spatio-temporal indicators, to various measurements of the change, while highlighting the advantage of an approach crossing several points of view, in order to understand the phenomenon at hand. Chapter 4 presents different categories of simulation model in line with complexity sciences. These models rely notably on the concepts of emergence and self-organization and allow us to highlight the roles of interaction within change. Chapter 5 provides ideas on research concerning the various construction approaches of hybrid objects and model couplings.
Categories: Science

Introduction to Statistical Methods for Biosurveillance

Introduction to Statistical Methods for Biosurveillance

First, the goal of a spatio-temporal method is to accurately identify the outbreak
region, not the affected individuals. ... CUSUM, and EWMA methods discussed in
this chapter have not been incorporated into operational biosurveillance systems.

Author: Ronald D. Fricker

Publisher: Cambridge University Press

ISBN: 9781107328068

Category: Medical

Page:

View: 932

Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.
Categories: Medical

Advances in Spatio Temporal Analysis

Advances in Spatio Temporal Analysis

Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Infor

Author: Xinming Tang

Publisher: CRC Press

ISBN: 9780203937556

Category: Science

Page: 250

View: 107

Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Infor
Categories: Science

Nonlinear Time Series Analysis

Nonlinear Time Series Analysis

Several statistical methods for the analysis of nonlinear time series are presented and illustrated with applications to physical and physiological time series.

Author: Cees Diks

Publisher: World Scientific

ISBN: 9789814496001

Category: Science

Page: 220

View: 332

Methods of nonlinear time series analysis are discussed from a dynamical systems perspective on the one hand, and from a statistical perspective on the other. After giving an informal overview of the theory of dynamical systems relevant to the analysis of deterministic time series, time series generated by nonlinear stochastic systems and spatio-temporal dynamical systems are considered. Several statistical methods for the analysis of nonlinear time series are presented and illustrated with applications to physical and physiological time series. Contents: Nonlinear Dynamical SystemsStochastic Time SeriesA Test for ReversibilityDetecting Differences between Reconstruction MeasuresEstimating Invariants of Noisy AttractorsThe Correlation Integral of Noisy AttractorsSpiral Wave Tip DynamicsSpatio-Temporal Chaos: A Solvable Model Readership: Students and researchers with an interest in time series analysis. Keywords:
Categories: Science

Modern Spatiotemporal Geostatistics

Modern Spatiotemporal Geostatistics

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.

Author: George Christakos

Publisher: Oxford University Press

ISBN: 0198031793

Category: Science

Page: 312

View: 657

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 the view that a deeper understanding of a theory of knowledge is an important prerequisite for the development of improved mathematical models of scientific mapping. The main focus of the book is the Bayesian Maximum Entropy (BME) approach for studying spatiotemporal distributions of natural variables. As part of the modern geostatistics paradigm, the BME approach provides a fundamental insight into the mapping problem in which the knowledge of a natural variable, not the variable itself, is the direct object of study. The thread running throughout the book is that the modern geostatistical approach to environmental problems is that of natural scientists who are more interested in a stochastic analysis concerned with both the ontological level(building models for physical systems) and the epistemic level (using what we know about the physical systems and integrating and modeling knowledge from a variety of scientific disciplines), rather than in the pure naive inductive account of science based merely on a linear relationship between data and hypotheses and theory-free techniques that may be useful in other areas.
Categories: Science

On Growth and Form

On Growth and Form

This book will be of particular interest to bio-mathematicians and development biologists.

Author: M. A. J. Chaplain

Publisher: Wiley-Blackwell

ISBN: UOM:39015042480759

Category: Mathematics

Page: 413

View: 484

On Growth and Form Spatio-temporal Pattern Formation in Biology M. A. J. Chaplain and G. D. Singh, both of the University of Dundee, UK J. C. McLachlan, St. Andrews University, UK Spatio-temporal pattern formation is a major area of research within the subject of mathematical biology. The topic involves the use of mathematical modelling to analyse how patterns in biology are created and develop. For example, the growth, over time, of the intricate and beautiful patterns on certain sea-shells or the striped markings on a tiger can be modelled and their development predicted in terms of non-linear mathematical processes. The current volume captures the breadth of recent research into various aspects of spatio-temporal pattern and form, such as development biology, reaction-diffusion systems and morphometrics. * Brings the ideas of the classic On Growth and Form by D'Arcy Thompson, the founding classic of mathematical biology, fully up to date and looks to future developments in the subject * Foreword provided by Professor John Tyler Bonner, Princeton University * World class collection of internationally renowned contributors from both experimental and theoretical backgrounds Taking its inspiration from D'Arcy Thompson's classic and still influential volume On Growth and Form, this new volume presents a collection of 21 articles from the Plenary Speakers of the recent D'Arcy Thompson Conference, held at the University of Dundee, 20-24 September 1998. The topics covered include pattern formation in development biology, reaction-diffusion systems, intercellular systems and morphometrics, offering the reader a stimulating blend of theory and experiment. This book will be of particular interest to bio-mathematicians and development biologists. Paediatric clinicians, evolutionary biologists, orthodontists, anatomists, physiologists and many other members of the biology community will also benefit greatly from it.
Categories: Mathematics

Statistical Methods for Spatial Planning and Monitoring

Statistical Methods for Spatial Planning and Monitoring

The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems.

Author: Silvestro Montrone

Publisher: Springer Science & Business Media

ISBN: 9788847027510

Category: Mathematics

Page: 158

View: 233

The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.
Categories: Mathematics

Data Analysis and Information Systems

Data Analysis and Information Systems

This volume presents 45 articles dealing with theoretical aspects, methodo logical advances and practical applications in domains relating to classifica tion and clustering, statistical and computational data analysis, conceptual or ...

Author: Hans-Hermann Bock

Publisher: Springer Science & Business Media

ISBN: 9783642800986

Category: Business & Economics

Page: 548

View: 483

This volume presents 45 articles dealing with theoretical aspects, methodo logical advances and practical applications in domains relating to classifica tion and clustering, statistical and computational data analysis, conceptual or terminological approaches for information systems, and knowledge struc tures for databases. These articles were selected from about 140 papers presented at the 19th Annual Conference of the Gesellschaft fur Klassifika tion, the German Classification Society. The conference was hosted by W. Polasek at the Institute of Statistics and Econometry of the University of 1 Basel (Switzerland) March 8-10, 1995 . The papers are grouped as follows, where the number in parentheses is the number of papers in the chapter. 1. Classification and clustering (8) 2. Uncertainty and fuzziness (5) 3. Methods of data analysis and applications (7) 4. Statistical models and methods (4) 5. Bayesian learning (5) 6. Conceptual classification, knowledge ordering and information systems (12) 7. Linguistics and dialectometry (4). These chapters are interrelated in many respects. The reader may recogni ze, for example, the analogies and distinctions existing among classification principles developed in such different domains as statistics and information sciences, the benefit to be gained by the comparison of conceptual and ma thematical approaches for structuring data and knowledge, and, finally, the wealth of practical applications described in many of the papers. For convenience of the reader, the content of this volume is briefly reviewed.
Categories: Business & Economics

Handbook of Spatial Statistics

Handbook of Spatial Statistics

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area.

Author: Alan E. Gelfand

Publisher: CRC Press

ISBN: 1420072889

Category: Mathematics

Page: 619

View: 965

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters. The handbook begins with a historical introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and spatial point patterns. The book also contains a section on space–time work as well as a section on important topics that build upon earlier chapters. By collecting the major work in the field in one source, along with including an extensive bibliography, this handbook will assist future research efforts. It deftly balances theory and application, strongly emphasizes modeling, and introduces many real data analysis examples.
Categories: Mathematics

Inter area Oscillations in Power Systems

Inter area Oscillations in Power Systems

P. Esquivel, E. Barocio, M.A. Andrade, and F. Lezama Abstract Multivariate
statistical data analysis techniques offer a ... analysis and the method of
snapshots is proposed to identify and extract dynamically independent
spatiotemporal patterns ...

Author: Arturo Roman Messina

Publisher: Springer Science & Business Media

ISBN: 0387895302

Category: Technology & Engineering

Page: 275

View: 506

The study of complex dynamic processes governed by nonlinear and nonstationary characteristics is a problem of great importance in the analysis and control of power system oscillatory behavior. Power system dynamic processes are highly random, nonlinear to some extent, and intrinsically nonstationary even over short time intervals as in the case of severe transient oscillations in which switching events and control actions interact in a complex manner. Phenomena observed in power system oscillatory dynamics are diverse and complex. Measured ambient data are known to exhibit noisy, nonstationary fluctuations resulting primarily from small magnitude, random changes in load, driven by low-scale motions or nonlinear trends originating from slow control actions or changes in operating conditions. Forced oscillations resulting from major cascading events, on the other hand, may contain motions with a broad range of scales and can be highly nonlinear and time-varying. Prediction of temporal dynamics, with the ultimate application to real-time system monitoring, protection and control, remains a major research challenge due to the complexity of the driving dynamic and control processes operating on various temporal scales that can become dynamically involved. An understanding of system dynamics is critical for reliable inference of the underlying mechanisms in the observed oscillations and is needed for the development of effective wide-area measurement and control systems, and for improved operational reliability.
Categories: Technology & Engineering

Application of Pattern Recognition and Adaptive DSP Methods for Spatio temporal Analysis of Satellite Based Hydrological Datasets

Application of Pattern Recognition and Adaptive DSP Methods for Spatio temporal Analysis of Satellite Based Hydrological Datasets

2.1.3 Value-added soil moisture products from land data assimilation systems A
rather different approach to add value to the ... models of land surface hydrology
to assimilate and downscale the observations to higher temporal and spatial
resolutions. ... have to be verified and the statistical properties of the land surface
model and the observations be reconciled, using techniques such as CDF
matching.

Author: Anish Chand Turlapaty

Publisher: Universal-Publishers

ISBN: 9781599423364

Category:

Page:

View: 697

Data assimilation of satellite-based observations of hydrological variables with full numerical physics models can be used to downscale these observations from coarse to high resolution to improve microwave sensor-based soil moisture observations. Moreover, assimilation can also be used to predict related hydrological variables, e.g., precipitation products can be assimilated in a land information system to estimate soil moisture. High quality spatio-temporal observations of these processes are vital for a successful assimilation which in turn needs a detailed analysis and improvement. In this research, pattern recognition and adaptive signal processing methods are developed for the spatio-temporal analysis and enhancement of soil moisture and precipitation datasets. These methods are applied to accomplish the following tasks: (i) a consistency analysis of level-3 soil moisture data from the Advanced Microwave Scanning Radiometer - EOS (AMSR-E) against in-situ soil moisture measurements from the USDA Soil Climate Analysis Network (SCAN). This method performs a consistency assessment of the entire time series in relation to others and provides a spatial distribution of consistency levels. The methodology is based on a combination of wavelet-based feature extraction and oneclass support vector machines (SVM) classifier. Spatial distribution of consistency levels are presented as consistency maps for a region, including the states of Mississippi, Arkansas, and Louisiana. These results are well correlated with the spatial distributions of average soil moisture, and the cumulative counts of dense vegetation; (ii) a modified singular spectral analysis based interpolation scheme is developed and validated on a few geophysical data products including GODAE's high resolution sea surface temperature (GHRSST). This method is later employed to fill the systematic gaps in level-3 AMSR-E soil moisture dataset; (iii) a combination of artificial neural networks and vector space transformation function is used to fuse several high resolution precipitation products (HRPP). The final merged product is statistically superior to any of the individual datasets over a seasonal period. The results have been tested against ground based measurements of rainfall over our study area and average accuracies obtained are 85% in the summer and 55% in the winter 2007.
Categories:

Artificial Crime Analysis Systems Using Computer Simulations and Geographic Information Systems

Artificial Crime Analysis Systems  Using Computer Simulations and Geographic Information Systems

Using Computer Simulations and Geographic Information Systems Liu, Lin, Eck,
John. Casetti, E. ... Statistical Methods in Medical Research, 4, 124-136. Griffith,
D. A. (1987). ... Hierarchical spatio-temporal mapping of disease rates. Journal of
 ...

Author: Liu, Lin

Publisher: IGI Global

ISBN: 9781599045931

Category: Business & Economics

Page: 508

View: 424

In the last decade there has been a phenomenal growth in interest in crime pattern analysis. Geographic information systems are now widely used in urban police agencies throughout industrial nations. With this, scholarly interest in understanding crime patterns has grown considerably. Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems discusses leading research on the use of computer simulation of crime patterns to reveal hidden processes of urban crimes, taking an interdisciplinary approach by combining criminology, computer simulation, and geographic information systems into one comprehensive resource.
Categories: Business & Economics

Mixed Models

Mixed Models

... HøYLAND System Reliability Theory: Models, Statistical Methods, and
Applications, Second Edition RAYNER, THAS, and BEST ... SHERMAN - Spatial
Statistics and Spatio-Temporal Data: Covariance Functions and Directional
Properties ...

Author: Eugene Demidenko

Publisher: John Wiley & Sons

ISBN: 9781118592991

Category: Mathematics

Page: 754

View: 952

Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” —Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end-of-section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforce material Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.
Categories: Mathematics

Spatio Temporal Dynamics and Quantum Fluctuations in Semiconductor Lasers

Spatio Temporal Dynamics and Quantum Fluctuations in Semiconductor Lasers

In this chapter we present a mesoscopic theory for the spatio-temporal carrier
and light field dynamics in quantum dot lasers. Quantum ... Those effects are
simulated via statistical methods. ... The quantum dot laser (QDL) is a complex
nonlinear system in which the spatio-temporal dynamics of the propagating light
fields is ...

Author: Edeltraud Gehrig

Publisher: Springer Science & Business Media

ISBN: 3540007415

Category: Technology & Engineering

Page: 234

View: 464

Presents fundamental theories and simulations of the spatio-temporal dynamics and quantum fluctuations in semiconductor lasers. The dynamic interplay of light and matter is theoretically described by taking into account microscopic carrier dynamics, spatially dependent light-field propagation and the influence of spontaneous emission and noise.
Categories: Technology & Engineering

Water Resources Research in Northwest China

Water Resources Research in Northwest China

2-7 discuss the climate system and hydrologic system changes, some
implications of these changes in relation to potential ... cycle, and the
spatiotemporal variations of the snow cover and glaciers through remote sensing,
geographic information systems, and statistical analysis. ... 10 examines some
extreme hydrological events and presents a study using the historical trend
method to investigate the spatial and temporal variability of changing
temperature and precipitation extremes ...

Author: Yaning Chen

Publisher: Springer Science & Business Media

ISBN: 9789401780179

Category: Science

Page: 444

View: 119

This book examines the possible impacts of climate change on hydrology and water resources in the vast arid region of Northwest China, which is one of the world’s largest arid places. The first chapter offers an introductory discussion of the physical geography and socioeconomic conditions in the region. Chapters 2 through 7 discuss the climate system and hydrologic system changes in the region, and assess some implications of these changes in relation to potential evapotranspiration, the hydrological cycle and spatiotemporal variations of the snow cover and glaciers as measured via remote sensing, geographic information systems, and statistical analysis. Chapters 8 and 9 focus on model description and experimental design for interpreting the hydro-climatic process, emphasizing the integration of water, climate, and land ecosystems through field observations and computer-based simulations. Chapter 10 examines some extreme hydrological events and presents a study using the historical trend method to investigate the spatial and temporal variability of changing temperature and precipitation extremes in the hyper-arid region of Northwest China. A concluding chapter discusses possible strategies for sustainable watershed management. The contributors are acknowledged experts who bring broad, relevant experience on water resources research in China’s cold and arid regions. The lessons of this volume will prove useful for understanding arid areas elsewhere in the world.
Categories: Science

Artificial Intelligence in Theory and Practice

Artificial Intelligence in Theory and Practice

It minimizes the statistical dependence between basis functions and searches for
a linear transformation to express a set of features as a linear combination of
statistically independent basis functions. ... Recently, we studied a joint spatial
and temporal ICA method, and compared the performance of different ICA
approaches by using our special face database collected by AcSys FRS
Discovery system.

Author: Max Bramer

Publisher: Springer Science & Business Media

ISBN: 9780387346540

Category: Computers

Page: 503

View: 965

The papers in this volume comprise the refereed proceedings of the conference 'Artificial Intelligence in Theory and Practice' (IFIP AI 2006), which formed part of the 19th World Computer Congress of IFIP, the International Federation for Information Processing (WCC- 2006), in Santiago, Chile in August 2006. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Programme Committee. The best papers were selected for the conference and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and myself. IFIP AI 2006 also included the Second IFIP Symposium on Professional Practice in Artificial Intelligence, organised by Professor John Debenham, which ran alongside the refereed papers. I should like to thank the conference chair. Professor Debenham for all his efforts in organising the Symposium and the members of our programme committee for reviewing an unexpectedly large number of papers to a very tight deadline. This is the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Artificial Intelligence and their real-world applications. The wide range and importance of these applications is clearly indicated by the papers in this volume. Further information about TCI 2 can be found on our website http://www.ifiptcl2.org.
Categories: Computers