Search Books
Opportunities for Environme… Marine Mammals of British C…

Multivariate Analysis of Ecological Data using CANOCO 5

Author Petr Šmilauer, Jan Lepš
Publisher Cambridge University Press
Category Nature
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
77.00 USD
🛒 Buy New on Amazon 🇺🇸 🏷 Buy Used — $73.00

✓ Usually ships in 24 hours

Share:
Book Details
ISBN / ASIN110769440X
ISBN-139781107694408
AvailabilityUsually ships in 24 hours
Sales Rank811,624
CategoryNature
MarketplaceUnited States 🇺🇸

Description

This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species functional traits and spatial structures analysed. Nine case studies of varying difficulty help to illustrate the suggested analytical methods, using the latest version of Canoco 5. All studies utilise descriptive and manipulative approaches, and are supported by data sets and project files available from the book website: http://regent.prf.jcu.cz/maed2/. Written primarily for community ecologists needing to analyse data resulting from field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulation.
The Quest For The Eastern Cougar: Extinction or Surviv…
View
A Spring without Bees: How Colony Collapse Disorder Ha…
View
Inferno (Bill and Alice Wright Photography)
View
Protecting New Jersey's Environment: From Cancer Alley…
View
Finding the Line: ordinary encounters in nature's mirr…
View
North Sea Climate: Based on observations from ships an…
View
Parrots: Lovebird, Parakeet, Kea, Monk Parakeet, Amazo…
View
The Politics and Economics of Park Management
View
Ignoring the Apocalypse: Why Planning to Prevent Envir…
View