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.

This edited volume explains data analysis methods, examples, exercises and case-studies.
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, 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, 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, Journal of Applied Ecology
'... excellent work ...' Journal of Applied Ecology



Book Information
ISBN 9780521475747
Author R. H. G. Jongman
Format Paperback
Page Count 324
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 520g
Dimensions(mm) 229mm * 152mm * 23mm