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.