Kamis, 29 Januari 2015

[V416.Ebook] Download Vegetation Description and Data Analysis: A Practical Approach, by Martin Kent

Download Vegetation Description and Data Analysis: A Practical Approach, by Martin Kent

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Vegetation Description and Data Analysis: A Practical Approach, by Martin Kent

Vegetation Description and Data Analysis: A Practical Approach, by Martin Kent



Vegetation Description and Data Analysis: A Practical Approach, by Martin Kent

Download Vegetation Description and Data Analysis: A Practical Approach, by Martin Kent

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Vegetation Description and Data Analysis: A Practical Approach, by Martin Kent

Vegetation Description and Data Analysis: A Practical Approach, Second Edition is a fully revised and up-dated edition of this key text. The book takes account of recent advances in the field whilst retaining the original reader-friendly approach to the coverage of vegetation description and multivariate analysis in the context of vegetation data and plant ecology.

Since the publication of the hugely popular first edition there have been significant developments in computer hardware and software, new key journals have been established in the field and scope and application of vegetation description and analysis has become a truly global field. This new edition includes full coverage of new developments and technologies.
This contemporary and comprehensive edition of this well-known and respected textbook will prove invaluable to undergraduate and graduate students in biological sciences, environmental science, geography, botany, agriculture, forestry and biological conservation.

  • Fully international approach
  • Includes illustrative case studies throughout
  • Now with new material on: the nature of plant communities; transitional areas between plant communities; induction and deduction of plant ecology; diversity indices and dominance diversity curves; multivariate analysis in ecology.
  • Accessible, reader-friendly style
  • Now with new and improved illustrations

  • Sales Rank: #812305 in Books
  • Published on: 2011-11-30
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.72" h x .90" w x 7.50" l, 1.85 pounds
  • Binding: Paperback
  • 428 pages

From the Back Cover
Vegetation Description and Data Analysis: A Practical Approach, second edition is a fully revised and up-dated edition of this key text. The book takes account of recent advances in the field whilst retaining the original reader-friendly approach to the coverage of vegetation description and multivariate analysis in the context of vegetation data and plant ecology.

Since the publication of the hugely popular first edition there have been significant developments in computer hardware and software, new key journals have been established in the field and scope and application of vegetation description and analysis has become a truly global field.
This new edition includes full coverage of new developments and technologies.

This contemporary and comprehensive edition of this well-known and respected textbook will prove invaluable to undergraduate and graduate students in biological sciences, environmental science, geography, botany, agriculture, forestry and biological conservation.

  • Fully international approach
  • Illustrative case studies used throughout Now with new material including: the nature of plant communities; induction and deduction in plant ecology; the potential relevance of Bayesian statistical analysis; recent advances in methods of ordination and classification (cluster analysis) and links to spatial analysis; a comprehensive and up-to-date review of the wide range of computer software now available; the increasing importance of R-related software
  • Accessible, reader-friendly style
  • Now with new and improved illustrations

About the Author
Martin Kemp is the Emeritus Professor of Biogeography, School of Geography, Earth and Environmental Sciences at the University of Plymouth, Devon, UK. His website can be found here: http://www.plymouth.ac.uk/staff/mkent

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Essencial to whom that want to learn about vegetation.

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