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This book clearly describes the many applications of graph theory to ecological questions, providing instruction and encouragement to researchers.
Nowadays, ecologists worldwide recognize the use of spatial analysis as essential. However, because of the fast-growing range of methods available, even an expert might occasionally find it challenging to choose the most appropriate one. Providing the ecological and statistical foundations needed to make the right decision, this second edition builds and expands upon the previous one by: • Encompassing the basic methods for spatial analysis, for both complete census and sample data • Investigating updated treatments of spatial autocorrelation and spatio-temporal analysis • Introducing detailed explanations of currently developing approaches, including spatial and spatio-temporal graph theory, scan statistics, fibre process analysis, and Hierarchical Bayesian analysis • Offering practical advice for specific circumstances, such as how to analyze forest Permanent Sample Plot data and how to proceed with transect data when portions of the data series are missing. Written for graduates, researchers and professionals, this book will be a valuable source of reference for years to come.
Displays the broad range of quantitative approaches to analysing ecological networks, providing clear examples and guidance for researchers.
A review and evaluation of the analysis methods for studying spatial pattern in vegetation.
Contains also Proceedings of conferences of health officers, and lists of physicians.
An overview of the wide range of spatial statistics available to analyse ecological data.
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