Book description

<P></P> <P>This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21<SUP>st</SUP> 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. </P> <P></P><B> <P>Features:</P> <UL></B> <P> <LI>An internationally regarded editorial team.</LI> <P></P> <P> <LI>A distinguished collection of contributors.</LI> <P></P> <P> <LI>A thoroughly contemporary treatment of a substantial interdisciplinary interface.</LI> <P></P> <P> <LI>Written to engage both statisticians as well as quantitative environmental researchers.</LI> <P></P> <P> <LI>34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.</LI> <P></P></UL> <P></P>

Table of contents