Resource selection by animals is a key aspect of ecological studies, focusing on how animals choose between different resources. This book provides a comprehensive guide to the statistical methods used in analyzing resource selection data. It covers various statistical models, including logistic regression, log-linear models, and discrete choice models, and discusses their applications in understanding animal behavior. The book also addresses the use of geographic information systems (GIS) in resource selection studies and explores different methods for analyzing data, such as discriminant function analysis and compositional analysis. It includes detailed examples and case studies, and discusses the importance of proper sampling protocols and study designs. The book also covers the analysis of resource selection over time and the use of resource selection functions (RSFs) for risk assessment and population size estimation. The authors emphasize the importance of statistical modeling in understanding animal resource selection and provide a thorough review of the statistical methods used in this field. The book is intended for field ecologists, particularly wildlife and fisheries biologists, who are interested in understanding how animal populations select their resources. The authors have made no attempt to address theoretical aspects of ecology that are concerned with how animals might choose their resources if they acted in an optimal manner. The book is structured into 14 chapters, each covering different aspects of resource selection analysis, including statistical modeling, data analysis, and the use of GIS. The book also includes a list of symbols and a list of references. The authors acknowledge the help of many colleagues in writing this book and note that any errors or omissions in this edition are entirely their responsibility.Resource selection by animals is a key aspect of ecological studies, focusing on how animals choose between different resources. This book provides a comprehensive guide to the statistical methods used in analyzing resource selection data. It covers various statistical models, including logistic regression, log-linear models, and discrete choice models, and discusses their applications in understanding animal behavior. The book also addresses the use of geographic information systems (GIS) in resource selection studies and explores different methods for analyzing data, such as discriminant function analysis and compositional analysis. It includes detailed examples and case studies, and discusses the importance of proper sampling protocols and study designs. The book also covers the analysis of resource selection over time and the use of resource selection functions (RSFs) for risk assessment and population size estimation. The authors emphasize the importance of statistical modeling in understanding animal resource selection and provide a thorough review of the statistical methods used in this field. The book is intended for field ecologists, particularly wildlife and fisheries biologists, who are interested in understanding how animal populations select their resources. The authors have made no attempt to address theoretical aspects of ecology that are concerned with how animals might choose their resources if they acted in an optimal manner. The book is structured into 14 chapters, each covering different aspects of resource selection analysis, including statistical modeling, data analysis, and the use of GIS. The book also includes a list of symbols and a list of references. The authors acknowledge the help of many colleagues in writing this book and note that any errors or omissions in this edition are entirely their responsibility.