Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

The Role of Statistics in Environmental Science. Environmental Sampling. Models for Data. Drawing Conclusions from Data. Environmental Monitoring. Impact Assessment. Assessing Site Reclamation. Time Series Analysis. Spatial Data Analysis. Censored Data. Monte Carlo Risk Assessment.