In modern society, we are ever more aware of the environmentalissues we face, whether these relate to global warming, depletionof rivers and oceans, despoliation of forests, pollution of land,poor air quality, environmental health issues, etc. At the mostfundamental level it is necessary to monitor what is happening inthe environment - collecting data to describe the changingscene. More importantly, it is crucial to formally describe theenvironment with sound and validated models, and to analyse andinterpret the data we obtain in order to take action. Environmental Statistics provides a broad overview of thestatistical methodology used in the study of the environment,written in an accessible style by a leading authority on thesubject. It serves as both a textbook for students of environmentalstatistics, as well as a comprehensive source of reference foranyone working in statistical investigation of environmentalissues.
- Provides broad coverage of the methodology used in thestatistical investigation of environmental issues.
- Covers a wide range of key topics, including sampling, methodsfor extreme data, outliers and robustness, relationship models andmethods, time series, spatial analysis, and environmentalstandards.
- Includes many detailed practical and worked examples thatillustrate the applications of statistical methods in environmentalissues.
- Authored by a leading authority on environmentalstatistics.