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Practical Environmental Statistics and Data Analysis

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Most environmental problems involve a large degree of uncertainty, and one way to improve understanding of the issues affecting the global environment is the use of statistics. This book describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems. The book provides a perspective on how environmental professionals are practicing statistics in areas such as environmental forensics, ecological populations, environmental policy-making, groundwater monitoring networks and water quality monitoring. A section containing figures in full colour illustrates the topics discussed. The pitfalls of common statistical methods are also included to assist practitioners.
Authors / Editors:
Price:
£85
Print ISSN:
9781906799045

With chapters contributed by international experts with backgrounds in academia, industry and government agencies, this book is required reading for environmental decision-makers, planners and regulators, as well as academics and professionals in environmental science, engineering and mathematics.

Contents

Chapter 1 Environmental Data, Information and Indicators for Natural Resources Management
Nilgun B. Harmancioglu, Cem Polat Cetinkaya and Filiz Barbaros

Chapter 2 Application of Statistics in Earthquake Hazard Prediction
Endi Zhai

Chapter 3 Adaptive Sampling of Ecological Populations
Jennifer A. Brown

Chapter 4 Statistics in Environmental Policy Making and Compliance in Surface Water Quality in California, USA
Jian Peng

Chapter 5 Solving Complex Environmental Problems Using Stochastic Data Analysis: Characterisation of a Hydrothermal Aquifer Influenced by a Karst, Example of Rennes les Bains, France
Alain Mangin and Farid Achour

Chapter 6 Application of Statistics in the Evaluation and Optimisation of Environmental Sampling Plans
Meng Ling and Jeff Kuo

Chapter 7 Statistical Accounting for Uncertainty in Modelling Transport in Environmental Systems
James Weaver, Jordan Ferguson, Matthew Small, Biplab Mukherjee and Fred Tillman

Chapter 8 Petroleum Hydrocarbon Forensic Data and Cluster Analysis
Jun Lu

Chapter 9 Anomaly Detection Methods for Hydrologists, Hydrogeologists and Environmental Engineers
Farid Achour, Jean-Pierre Laborde and Lynda Bouali

Chapter 10 Statistical Methods and Pitfalls in Environmental Data Analysis
Yue Rong

Index

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