Overview

Literature on resource selection by animals is a maze of methodologies for data collection and interpretation. Field biologists need a guide through the labyrinth - this book aims to provide such a guide. It gives a clear and consistent framework for the study of how animals select their resources (food and habitat), by taking the reader through different types of study design. The authors have clearly identified the need to pull together the diffuse literature, and biologists should greatly improve their experimental design, methodology, and analysis with the information provided. A second edition, the text has been updated to include many developments. There is material on discrete choice models, the analysis of data from geographical information systems, compositional analysis, Mahalanobis distance methods, and neural networks and related approaches.

Full Product Details

Author:   B.F. Manly ,  L. McDonald ,  D.L. Thomas ,  Trent L. McDonald
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2002
Dimensions:   Width: 15.60cm , Height: 1.40cm , Length: 23.40cm
Weight:   1.140kg
ISBN:  

9781402006777

ISBN 10:   1402006772
Pages:   222
Publication Date:   30 June 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD  
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Table of Contents

to Resource Selection Studies.- Statistical Modelling Procedures.- Examples of the Use of Resource Selection Functions.- Studies with Resources Defined by Several Categories.- Resource Selection Functions from Logistic Regression.- Resource Selection over Several Time Periods.- Log-Linear Modelling.- Discrete Choice Models with Changing Availability.- Applications Using Geographic Information Systems.- Discriminant Function Analysis.- Analysis of the Amount of Use.- Some Other Types of Analysis.- Risk Assessment and Population Size Estimation.- Computing.

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