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Publications
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| McGarigal, K., S. A. Cushman, and S.
G. Stafford. 2000. Multivariate Statistics for Wildlife and
Ecology Research. Springer-Verlag, New York. |
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Abstract
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| 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.
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How
to Get the Book
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| Copies of this book can be purchased directly from Springer-ny.com
for $49.95 (softcover)
and $89.95 (hardcover),
or from Amazon.com for $47.45
(softcover)
and $89.95 (hardcover). |
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Download
Example Datasets
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| The example datasets used in the book can be downloaded here. Note,
the download file is a zip file containing the raw spreadsheets in
Microsoft Excel format. The files must be extracted and then imported
to SAS before you can run the SAS programs described in the book. |
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Second
Edition Plans
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The first edition covers the classic multivariate techniques and
provides the essential background for more advanced techniques.
In particular, the first edition provides a simplied introduction
and overview of ordination techniques and then largely focuses on
principal components analysis. While this is perhaps an effective
introduction to ordination, it is by no means sufficient to cover
the breadth of indirect and direct gradient analysis techniques.
Specifically, ordination techniques based on a unimodal (as opposed
to linear) model, and constrained (i.e., canonical) ordination techniques,
are only superficially covered in the first edition. In the second
edition, we plan to cover in depth the full suite of linear and
unimodal unconstrained and constrained ordination techniques. In
addition, we plan to expand our coverage of cluster analysis techniques
to include a more in-depth description and example of two-way indicator
species analysis (TWINSPAN). Finally, we plan to add a second set
of examples to each chapter.
It is our intention to complete revisions for the second edition,
contingent upon publisher approval, during 2001-02 and release the
new edition sometime in 2003.
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