Abdel H. El-Shaarawi – författare

This is an expanded and revised edition of an essential reference work for university libraries, research laboratories, government institutions and consultancies concerned with the environmental sciences. The Encyclopedia offers comprehensive coverage of the wide range of topics, techniques and applications that comprise this multidisciplinary field.Key features of the new edition: Expanded to six volumes to reflect developments in Environmetrics techniques and applications during past decadeOver 60% of articles in this edition are new or revisedA new section: Environmental Engineering and TechnologyIncreased breadth and depth of coverage in key application areas such as climate science and hydrological processesRevised and updated treatment of methodology including spatial-temporal statistics, computational statistics and modeling extremesGreater emphasis on practitioner oriented content.Publishing in both print and online the Encyclopedia will be an invaluable aid to researchers, lecturers, students, consultants and policymakers engaged in ecological statistics, climate change, geostatistics, natural resources, risk assessment, environmental health, physical processes, chemometrics, stochastic modelling, forestry, acid rain, and pollution.

It is increasingly clear that good quantitative work in the environmental sciences must be genuinely interdisciplinary. This volume, the proceedings of the first combined TIES/SPRUCE conference held at the University of Sheffield in September 2000, well demonstrates the truth of this assertion, highlighting the successful use of both statistics and mathematics in important practical problems.It brings together distinguished scientists and engineers to present the most up-to-date and practical methods for quantitative measurement and prediction and is organised around four themes:- spatial and temporal models and methods;- environmental sampling and standards;- atmosphere and ocean;- risk and uncertainty.Quantitative Methods for Current Environmental Issues is an invaluable resource for statisticians, applied mathematicians and researchers working on environmental problems, and for those in government agencies and research institutes involved in the analysis of environmental issues.