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  3. Data Analysis in Community and Landscape Ecology
  • Cited by 1227
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    • Publisher:
      Cambridge University Press
      Publication date:
      11 October 2009
      02 March 1995
      ISBN:
      9780511525575
      9780521475747
      DOI:
      https://doi.org/10.1017/CBO9780511525575
      Dimensions:
      Weight & Pages:
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.52kg, 324 Pages
      • Subjects:
      Mathematics, Life Sciences, Mathematical Physics, Ecology and Conservation
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    Subjects:
    Mathematics, Life Sciences, Mathematical Physics, Ecology and Conservation
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    Book description

    Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.

    Reviews

    ‘This excellent book … should be on the bookshelf of all ecologists who are concerned with the relationship between plant community composition and environmental factors.’

    T. J. Carleton Source: Vegetatio

    ‘This is an excellent and extremely valuable book … The book provides a wonderfully stimulating introduction to many new and powerful methods of data analysis … It is a must for any quantitative palaeoecologist.’

    H. B. J. Birks Source: INQUA Holocene Commission Newsletter

    ‘… well produced and well indexed, it has excellent bibliographical notes. It should be consulted by all who want to inquire into the mathematics behind numerical methods.’

    M. O. Hill Source: Journal of Applied Ecology

    ‘… excellent work …’

    Source: Journal of Applied Ecology

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