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