STEVEN P. MILLARD / NAGARAJ KNEERCHAL
The combination of easy-to-use software with easy access to a description of the statistical methods (definitions, concepts, etc.) makes this book an excellent resource. Clearly, one of the major features of this book is the inclusion of general information on environmental statistical methods and examples of how to implement these methods using the statistical software package S-Plus and the add-in modules EnvironmentalStats for S-Plus, S+SpatialStats, and S-Plus for ArcView. Environmental Statistics discusses almost all of the environmental statistics methods used today by scientists, researchers, and regulators. Data sets used in the examples are available on the World Wide Web so you can investigate the data yourself and reproduce the examples! This book is a survey of statistical methods you can use to collect and analyze environmental data. It explains what these methods are, how to use them, and where you can find references to them. It provides insight into how to collect environmental data (via various random sampling schemes), and also what to think about before you collect environmental data, and how to make sense of it after you have it. Several data sets are used to illustrate concepts and methods, and are available on the World Wide Web so that the reader may explore the data and reproduce the examples. The appendices include an extensive list of references, a list of relevant URLs, a glossary of statistical terms, and an index. This book is useful for environmental scientists, engineers, and regulators, even those with only a limited knowledge of statistics, as well as a text for students taking courses in environmental statistics, statistics, biostatistics and environmental science.
