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Handbook of spatial point-pattern analysis in ecology / Thorsten Wiegand and Kirk A. Moloney.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC applied environmental statisticsPublication details: Boca Raton : CRC Press, c2014.Description: xxvii, 510 p. : illustrations (some color) ; 25 cmISBN:
  • 9781420082548 (hardcover : acidfree paper)
Subject(s): DDC classification:
  • 000SB:577 23 W645
Contents:
1. Application of spatial statistics in ecology -- 2. Fundamentals of point-pattern analysis -- 3. Estimators and toolbox -- 4. Examples -- 5. A course outline based on the book-- Frequently used symbols-- Glossary-- References-- Index.
Summary: Handbook of Spatial Point-Pattern Analysis in Ecology shows how the techniques of point-pattern analysis are useful for tackling ecological problems. Within an ecological framework, the book guides readers through a variety of methods for different data types and aids in the interpretation of the results obtained by point-pattern analysis. Ideal for empirical ecologists who want to avoid advanced theoretical literature, the book covers statistical techniques for analyzing and interpreting the information contained in ecological patterns. It presents methods used to extract information hidden in spatial point-pattern data that may point to the underlying processes. The authors focus on point processes and null models that have proven their immediate utility for broad ecological applications, such as cluster processes.
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Includes bibliographical references (pages 481-495) and index.

1. Application of spatial statistics in ecology --
2. Fundamentals of point-pattern analysis --
3. Estimators and toolbox --
4. Examples --
5. A course outline based on the book--
Frequently used symbols--
Glossary--
References--
Index.

Handbook of Spatial Point-Pattern Analysis in Ecology shows how the techniques of point-pattern analysis are useful for tackling ecological problems. Within an ecological framework, the book guides readers through a variety of methods for different data types and aids in the interpretation of the results obtained by point-pattern analysis.
Ideal for empirical ecologists who want to avoid advanced theoretical literature, the book covers statistical techniques for analyzing and interpreting the information contained in ecological patterns. It presents methods used to extract information hidden in spatial point-pattern data that may point to the underlying processes. The authors focus on point processes and null models that have proven their immediate utility for broad ecological applications, such as cluster processes.

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