Description
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface.
Features:
- An internationally regarded editorial team.
- A distinguished collection of contributors.
- A thoroughly contemporary treatment of a substantial interdisciplinary interface.
- Written to engage both statisticians as well as quantitative environmental researchers.
- 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Table of Contents
1. Introduction (The editors)
Section 1: Methodology for Statistical Analysis of Environmental Processes
2. Fundamentals of modeling for environmental processes (A. Gelfand)
3. Time series methodology (P. Craigmile)
4. Dynamic models (A. Schmidt/H. Lopes)
5. Geostatistical modeling for environmental processes (S. Banerjee)
6. Spatial and Spatio-temporal Point Processes in Ecological Applications (J. Illian)
7. Data fusion (V. Berrocal)
8. Analysis of Extremes (D. Cooley/B. Hunter/R. Smith)
9. Environmental sampling methods (D. Zimmerman/S. Buckland)
10. The problem of zeros (J. Clark/A. Gelfand)
11. Gradient Analysis of Ecological Communities (Ordination) (M. Palmer)
Section 2: Topics in Ecological Processes
12. Species distribution models (O. Ovaskainen)
13. Capture-recapture and distance sampling to estimate population sizes (R. Barker)
14. Animal Movement Models (M. Hooten/D. Johnson)
15. Population Demography for Ecology (K. Newman)
16. Trait Modeling Methods (M. Lammens-Aiello/J. Silander)
17. Statistical Models of Vegetation Fires (J.M.C. Pereira/K. F. Turkman)
18. Spatial Statistical Models for Stream Networks (J. Ver Hoef/E. Peterson/D. Isaak)
Section 3: Topics in Environmental Exposure
19. Statistical Methods for Exposure Assessment (B. Reich/M. Fuentes/Y-N Huang)
20. Alternative Models for Estimating Air Pollution Exposure (M. Bell/J. Warren)
21. Preferential sampling with regard to exposure levels (P. Diggle/E. Giorgi)
22. Network Design (J. Zidek,/D. Zimmerman)
23. Dynamic source apportionment (J. Krall/H. Chang)
24. Dynamics of environmental epidemiology (F. Dominici/A. Wilson)
25. Connecting exposure to outcomes (A. Szpiro)
26. Experimental design for environmental epidemiology – cohort methods, case-crossover methods (L. Sheppard)
Section 4: Topics in Climatology
27. Modeling and Assessing Climate Trends (P. Craigmile/P. Guttorp)
28. Climate models (D. Stephenson)
29. Spatial Analysis for Climatology (D. Nychka/C. Wikle)
30. Data assimilation; inference for linking physical and probabilistic models for complex nonlinear dynamic systems (C. Jones/A. Budhiraja)
31. Spatial extremes with application to climate and environmental exposure (A. Davison, R. Huser, E. Thibaud )
32. Statistics in Oceanography (C. Wikle)
33. Paleoclimate and paleoecology (P. Craigmile/M. Haran/B. Li/E. Mannshardt/ B. Rajaratnam/M. Tingley)
34. Detection and attribution (D
35. Health risks of climate variability and change (K. Ebi, D. Hondula, P. Kinney, A. Monaghan, C. Morin, N. Ogden, M. Springmann)
