Resource Selection by Animals: Statistical Design and Analysis for Field Studies

Resource Selection by Animals: Statistical Design and Analysis for Field Studies

2002 | Bryan F.J. Manly, Lyman L. McDonald, Dana L. Thomas, Trent L. McDonald, Wallace P. Erickson
The book "Resource Selection by Animals: Statistical Design and Analysis for Field Studies" by Bryan F.J. Manly, Lyman L. McDonald, Dana L. Thomas, Trent L. McDonald, and Wallace P. Erickson provides a comprehensive guide to the design and analysis of field studies on resource selection. The second edition includes new material on the Akaike Information Criterion (AIC) for model selection, logistic regression, discrete choice models, and the use of Geographic Information Systems (GIS) in resource selection studies. The book covers various statistical methods, such as linear regression, logistic regression, log-linear models, and generalized linear models, and discusses the application of these methods to different types of resource selection data. It also explores the use of resource selection functions (RSFs) and their interpretation, as well as alternative methods like discriminant function analysis and compositional analysis. The book is structured to be accessible to field ecologists, particularly wildlife and fisheries biologists, and includes practical examples and software recommendations for conducting RSF analyses.The book "Resource Selection by Animals: Statistical Design and Analysis for Field Studies" by Bryan F.J. Manly, Lyman L. McDonald, Dana L. Thomas, Trent L. McDonald, and Wallace P. Erickson provides a comprehensive guide to the design and analysis of field studies on resource selection. The second edition includes new material on the Akaike Information Criterion (AIC) for model selection, logistic regression, discrete choice models, and the use of Geographic Information Systems (GIS) in resource selection studies. The book covers various statistical methods, such as linear regression, logistic regression, log-linear models, and generalized linear models, and discusses the application of these methods to different types of resource selection data. It also explores the use of resource selection functions (RSFs) and their interpretation, as well as alternative methods like discriminant function analysis and compositional analysis. The book is structured to be accessible to field ecologists, particularly wildlife and fisheries biologists, and includes practical examples and software recommendations for conducting RSF analyses.
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