Environmental statistics is a rapidly growing discipline that is
important not only as a division of professional and academic
statistics, but also in the accumulation of data on
environmental effects and in the formulation of environmental
policy by government agencies.
This book features contributions from policy makers, scientists
actively involved in collection of data, and professional, academic
and government statisticians. These explore the
interfaces between the different areas of application of
environmental statistics and consider the future applications
of methods arising from this discipline. Some of the chapters deal
specifically with environmental models and methods. Here, the
contributors explain specialized statistical techniques that have
been developed for analysing environmental data and mathematical
models that have been applied to the problem of integrating
large amounts of environmental data into a coherent picture of
particular environmental systems. Several of the contributions deal
specifically with the problems involved in co-ordinating data
collection over large geographical areas and over many dimensions
of measurement. Finally, the book discusses the problems of
formulating specific environmental policies given the nature of the
information that has been made available using environmental
statistical methods.
Daftar Isi
Chairman’s Introduction (V. Barnett).
In Search of Spatial Extremes (A. Stein, et al.).
Operational Evaluation of Air Quality Models (P. Sampson & P.
Guttorp).
Assessing the Human Health Risk of Atmospheric Particles (R. Smith,
et al.).
Ozone Dose Mapping and the Utility of Models (C. Anderson & R.
Smith).
Measuring and Modelling Pollution for Risk Analysis (J. Zidek &
N. Lee).
A Preliminary Statistical Examination of the Effects of Uncertainty
and Variability on Environmental Regulatory Criteria for Ozone (L.
Cox, et al.).
Statistics and Environmental Policy: Case Studies from Long-Term
Environmental Monitoring Data (R. Goudey & G. Laslett).
Better Late than Never? Injecting Statistical Know-how into
Legislation on Water Quality (A. Warn).
Indicator Quality for Multidisciplinary Systems (J. Riley).
Integrating Data for Sustainable Development: Introducing the
Distribution of Resources Framework (J. Heycox).
Does Environmental Data Collection Need Statistics? (M.
Pulles).
Air Pollution Statistics in Policy Applications (R. Smith).
Agriculture Sector Resource and Environmental Policy Analysis: An
Economic and Biophysical Approach (R. House, et al.).
Final Discussion.
Indexes.
Tentang Penulis
The Novartis Foundation is an international scientific and educational charity which promotes the study and general knowledge of science and in particular encourages international co-operation in scientific research.
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