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Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus

  • 400 Pages
  • 4.88 MB
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  • English
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Springer US , Boston, MA
Medicine, Epidemiology, Public health, Environmental protection, Environmental toxic
About the Edition

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, uncertainty, and space-time connectivity. These topics are important in the characterization of natural systems and health processes. Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus explains why modern stochastics is the appropriate mechanical vehicle for addressing such issues in a rigorous way. In particular, modern stochastics incorporates concepts and methods from probability, classical statistics, geostatistics, statistical mechanics and field theory. The authors present a synthetic view of environmental health that embraces all of the various components and focuses on their mutual interactions. Spatiotemporal Environmental Health Modeling: A Tractatus Stochasticus includes new material on Bayesian maximum entropy estimation techniques and space-time random field estimation methods. The authors show why these methods have clear advantages over the classical geostatistical estimation procedures and how they can be used to provide accurate space-time maps of environmental health processes. Also included are expositions of diagrammatic perturbation and renormalization group analysis, which have not been previously discussed within the context of Environmental Health. Finally, the authors present stochastic indicators that can be used for large-scale characterization of contamination and investigations of health effects at the microscopic level. This book will be a useful reference to both researchers and practitioners of Environmental Health Sciences. It will appeal specifically to environmental engineers, geographers, geostatisticians, earth scientists, toxicologists, epidemiologists, pharmacologists, applied mathematicians, physicists and biologists.

Statementby George Christakos, Dionissios T. Hristopulos
ContributionsHristopulos, Dionissios T.
Classifications
LC ClassificationsRA1-1270
The Physical Object
Format[electronic resource] /
Pagination1 online resource (xviii, 400 p.)
ID Numbers
Open LibraryOL27088615M
ISBN 101441950486, 1475728115
ISBN 139781441950482, 9781475728118
OCLC/WorldCa851832001

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus explains why modern stochastics is the appropriate mechanical vehicle for addressing such issues in a rigorous way.

In particular, modern stochastics incorporates concepts and methods from probability, classical statistics, geostatistics, statistical mechanics and field by: Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus by George Christakos,available at Book Depository with free delivery worldwide.

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus provides a holistic, conceptual and quantitative framework for Environmental Health Modelling in space-time.

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Description Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus PDF

The authors present a Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus book view of environmental health that embraces all of the various components and focuses on their mutual interactions. Spatiotemporal Environmental Health Modeling: A Tractatus Stochasticus includes new material on Bayesian maximum entropy estimation techniques and space-time random field estimation methods.

Christakos / Hristopulos, Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus, 1st ed. Softcover of orig., Buch, Bücher schnell und portofrei.

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus explains why modern stochastics is the appropriate mechanical vehicle for addressing such issues in a rigorous way.

In particular, modern stochastics incorporates concepts and methods from probability, classical statistics, geostatistics, statistical mechanics and field theory. Abstract. For a very large number of environmental health problems, the required outcome of the analysis is one or more spatiotemporal maps.

These maps may convey visual information regarding the distribution of variables in space-time (e.g., spring water solute contents; breast cancer incidence), usually obtained from data sets.

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus George Christakos, Dionissios T. Hristopulos No preview available - Interventional Ultrasound of the Breast5/5(1). Spatiotemporal environmental health modelling.

A tractatus stochasticus, Kluwer. Christakos, G. Lai, J., A study of breast cancer dynamics in North Carolina. Stechmann, S. A Spatiotemporal Stochastic Model for Tropical Precipitation and Water Vapor R.

Spatio-temporal stochastic modelling of environmental hazards. Essential Clinical Anatomy, Third Edition presents the core anatomical concepts found in Clinically Oriented Anatomy, Fifth Edition in a concise, easy-to-read, and student-friendly format. This streamlined book is an excellent review for the larger text and an ideal primary text for health professions courses with brief coverage of anatomy.4/5(14).

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus George Christakos, Dionissios T.

Hristopulos No preview available - All Book Search results ». Spatiotemporal Environmental Health Modelling a Tractatus Stochasticus Fuzzy Stochastic Optimization: Theory, Models and Applications Complex Systems in Knowledge-Based Environments: Theory, Models and Applications.

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. A test of Gaussianity based on the Euler characteristic of excursion sets Di Bernardino, Elena, Estrade, Anne, and León, José R., Electronic Journal of Statistics, ; Boundedness of level lines for two-dimensional random fields Alexander, Kenneth S., Annals of Probability, ; A multiple-patch phase space method for computing trajectories on manifolds with applications to wave.

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus by George Christakos avg rating — 0 ratings — published — 3 editions. This multidisciplinary reference takes the reader through all four major phases of interdisciplinary inquiry: adequate conceptualization, rigorous formulation, substantive interpretation, and innovative implementation.

The text introduces a novel synthetic paradigm of public health reasoning and epidemic modelling, and implements it with a study of the infamous 14th century AD Black Death.

On certain classes of spatiotemporal random fields with application to space-time data processing. Hristopulos DT: Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus. Random Field Models in Earth Sciences.

Development and implementation of knowledge synthesis methods for stochastic natural. Spatiotemporal statistics model.

Spatiotemporal analysis based on the Bayesian Maximum Entropy (BME) theory (Christakos,Christakos,Christakos et al., ) distinguishes between: (a) the core (or general) knowledge base (KB), denoted by G–KB (it may include physical laws, primitive equations, and theoretical models of space.

Known conceptual and technical limitations of mainstream environmental health data analysis have directed research to new avenues. The goal is to deal more efficiently with the inherent uncertainty and composite space-time heterogeneity of key attributes, account for multi-sourced knowledge bases (health models, survey data, empirical relationships etc.), and generate more.

Christakos G. On certain classes of spatiotemporal random fields with application to space-time data processing. IEEE Trans On Systems, Man, and Cybernetics. ; – doi: / Christakos G, Hristopulos DT.

Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus. Kluwer Academic Publ, Boston, MA;   The daily PM concentrations averaged over all monitoring sites available in the study region during the year are plotted in Fig. is a time series constructed on the basis of the original (raw) PM data, which exhibits a seasonal pattern with elevated concentrations during spring and winter due to seasonal fluctuations of both the emissions and meteorological conditions (for.

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Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus avg rating — 0 ratings — published — 3 editions Want to Read saving. Click on the book chapter title to read more. Part of the Lecture Notes in Statistics book series (LNS, volume ) Christakos G, Hristopoulos D.T.: Spatiotemporal environmental health modeling: a tractatus stochasticus, Kluwer, Boston.

Fernández-Pascual, R.: Wavelet-vaguelette decomposition of spatiotemporal random fields. Stoch. Env. Res. Risk. 21, – () zbMATH. A BME approach to ozone exposure spatiotemporal health impacts Among the challenges posed for environmental health scientists and integrated assessment modellers are exposure analysis and mapping of spatiotemporal pollutants in and D.T.

Hristopulos, Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus, Kluwer Acad. Publ. Read "A BME solution of the stochastic three-dimensional Laplace equation representing a geothermal field subject to site-specific information, Stochastic Environmental Research and Risk Assessment" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

Spatiotemporal environmental health modelling: a tractatus stochasticus. Christakos G., Serre M.L. BME analysis of spatiotemporal particulate matter distributions in.

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Spatiotemporal Environmental Health Modelling A Tractatus Stochasticus de Dionissios T. Hristopulos e George Christakos ISBN: Edição ou reimpressão: Editor: SPRINGER-VERLAG NEW YORK INC. Spatiotemporal Environmental Health Modelling—A Tractatus Stochasticus.

Kluwer Academic Press, Boston, MA, pp. Ajustement d'une corà egionalisation stationnaire. A Spatiotemporal Climate-Based Model of Early Dengue Fever Warning in Southern Taiwan. Stoch Envir Res and Risk Assessment, 25(4), Google Scholar Cross Ref; Kolovos A., Skupin A., Jerrett M., and G.

Christakos. Multi-Perspective Analysis and Spatiotemporal Mapping of Air Pollution Monitoring Data. Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus Pakistan – Saudi relations are strong, strategic, and solid not slavish French Macron is no .Thinking French Translation Student Book: A Course in Translation Method: French to English (Thinking Translation) Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus Dairy Microbiology Handbook: The Microbiology of Milk and Milk Products.Also, spatiotemporal modelling has been used to study associations between environmental exposure and adverse health effects in terms of a physico-epidemiologic predictability criterion.