270 pages, 104 figs
Highlights the successful use of both statistics and mathematics in important practical problems and presents practical methods for quantitative measurement and prediction. It is organised around four themes: spatial and temporal models and methods; environmental sampling and standards; atmosphere and ocean; and risk and uncertainty.
Preface.- Part I. Spatial and Temporal Models and Methods: Modeling Spatio-Temporally Misaligned Areal and Point Process Environmental Data. Space and Space-Time Modeling Using Process Convolutions. Multivariate Kriging for Interpolating Data from Different Sources.- Part II. Environmental Sampling and Standards: Distance Sampling: Recent Advances and Future Directions. Setting Environmental Standards: A Statistical Approach.- Part III. Atmosphere and Ocean: The Interpretation and Validation of Measurements of the Ocean Wave Directional Spectrum. Thermal Energy Emission and Propagation from Accidents. Development and Application of an Extended Methodology to Validate Short-Range Atmospheric Dispersion Models. Uncertainty and Sensitivity of Dispersion Model Results to Meteorological Inputs: Two Case Studies.- Part IV. Risk and Uncertainty: Statistics and the Environmental Sciences: Approaches to Model Combination. Bayesian Analysis of Computer Code Outputs. The Realities of Decision Making on Risks.
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