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Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus (Paperback, Softcover reprint of hardcover 1st ed. 1998)
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Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus (Paperback, Softcover reprint of hardcover 1st ed. 1998)
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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.
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