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Multivariate Statistics for Wildlife and Ecology Research

  • Kevin McGarigal
  • Susan Stafford
  • Sam Cushman

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Kevin McGarigal, Susan Stafford, Sam Cushman
    Pages 1-17
  3. Kevin McGarigal, Susan Stafford, Sam Cushman
    Pages 19-80
  4. Kevin McGarigal, Susan Stafford, Sam Cushman
    Pages 81-128
  5. Kevin McGarigal, Susan Stafford, Sam Cushman
    Pages 129-187
  6. Kevin McGarigal, Susan Stafford, Sam Cushman
    Pages 189-232
  7. Kevin McGarigal, Susan Stafford, Sam Cushman
    Pages 233-248
  8. Back Matter
    Pages 249-283

About this book

Introduction

Wildlife researchers and ecologists make widespread use of multivariate statistics in their studies. With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. Multivariate Statistics for Wildlife and Ecology Research gives the reader a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and underlying theory. More important, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying each one. Whether used as a textbook for specialized courses or as a supplement to general statistics texts, the book emphasizes those techniques that students of ecology and natural resources most need to understand and employ in their research. Detailed examples use real wildlife data sets analyzed using the SAS statistical software program. The book is specifically targeted for upper-division and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, but it will be valuable to researchers in any of the biological sciences.    

Keywords

biology classification cluster analysis clustering ecology forest forestry mathematics multidimensional scaling multivariate statistics natural resources regression analysis SAS statistics wildlife biology

Authors and affiliations

  • Kevin McGarigal
    • 1
  • Susan Stafford
    • 2
  • Sam Cushman
    • 3
  1. 1.Department of Natural Resources ConservationUniversity of MassachusettsAmherstUSA
  2. 2.Department of Forest SciencesColorado State UniversityFort CollinsUSA
  3. 3.Organismic and Evolutionary BiologyUniversity of MassachusettsAmherstUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-1288-1
  • Copyright Information Springer-Verlag New York, Inc. 2000
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-98642-5
  • Online ISBN 978-1-4612-1288-1
  • Buy this book on publisher's site