Quantitative Methods for Current Environmental Issues

1. Front Matter

   Pages i-x

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2. Spatial and Temporal Models and Methods

   1. Front Matter

      Pages 1-1

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   2. Modeling Spatio-Temporally Misaligned Areal and Point Process Environmental Data

      • Bradley P. Carlin, Andrew S. Mugglin, Li Zhu, Alan E. Gelfand

      Pages 3-35

   3. Space and Space-Time Modeling using Process Convolutions

      • Dave Higdon

      Pages 37-56

   4. Multivariate Kriging for Interpolating with Data from Different Sources

      • H. Wackernagel, L. Bertino, J. P. Sierra, J. González del Río

      Pages 57-75

3. Environmental Sampling and Standards

   1. Front Matter

      Pages 77-77

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   2. Distance Sampling: Recent Advances and Future Directions

      • S. T. Buckland, L. Thomas, F. F. C. Marques, S. Strindberg, S. L. Hedley, J. H. Pollard et al.

      Pages 79-97

   3. Setting Environmental Standards: A Statistical Approach

      • Vic Barnett, Marion Bown

      Pages 99-109

4. Atmosphere and Ocean

   1. Front Matter

      Pages 111-111

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   2. The Interpretation and Validation of Measurements of the Ocean Wave Directional Spectrum

      • Lucy R. Wyatt

      Pages 113-128

   3. Thermal Energy Emission and Propagation from Accidents

      • A. Pelliccioni, F. Altavilla, S. Berardi

      Pages 129-146

   4. Development and Application of an Extended Methodology to Validate Short-Range Atmospheric Dispersion Models

      • Harry Eleveld, Harry Slaper

      Pages 147-165

   5. Uncertainty and Sensitivity of Dispersion Model Results to Meteorological Inputs: Two Case Studies

      • Joseph C. Chang

      Pages 167-203

5. Risk and Uncertainty

   1. Front Matter

      Pages 205-205

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   2. Statistics and the Environmental Sciences: Approaches to Model Combination

      • Gudmund Høst

      Pages 207-226

   3. Bayesian Analysis of Computer Code Outputs

      • Marc C. Kennedy, Anthony O’Hagan, Neil Higgins

      Pages 227-243

   4. The Realities of Decision Making on Risks

      • Jim McQuaid

      Pages 245-264

6. Back Matter

   Pages 265-270

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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.

• atmosphere
• environment
• environmental science
• environmental sciences
• modeling
• statistics

• School of Mathematics and Statistics, University of Sheffield, Sheffield, UK

  Clive W. Anderson, Philip C. Chatwin

• School of Mathematical Sciences, University of Nottingham, Nottingham, UK

  Vic Barnett

• National Water Research Institute, Burlington, Canada

  Abdel H. El-Shaarawi

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