I. Fundamental Principles of Stochastic Environmental Health Modelling. II. Environmental Exposure Fields and their Health Effects. III. Spatiotemporal Random Fields in Exposure Analysis and Assessment. IV. Modelling Exposure Heterogeneities. V. Spatiotemporal Mapping of Environmental Health Processes - the BME Approach. VI. Spatiotemporal MMSE Mapping. VII. Stochastic Partial Differential Equation Modelling of Flow and Transport. VIII. Stochastic Physiologically-Based Pollutokinetic Modelling. IX. Stochastic Exposure and Health Indicators. Bibliography. Index.
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
Springer Book Archives