Classification and Ordination: Advances in Vegetation Science, cartea 2
Editat de E. van der Maarelen Limba Engleză Hardback – 30 noi 1980
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Specificații
ISBN-13: 9789061936091
ISBN-10: 9061936098
Pagini: 200
Ilustrații: X, 188 p.
Dimensiuni: 215 x 303 x 16 mm
Greutate: 0.8 kg
Editura: SPRINGER NETHERLANDS
Colecția Advances in Vegetation Science
Seria Advances in Vegetation Science
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9061936098
Pagini: 200
Ilustrații: X, 188 p.
Dimensiuni: 215 x 303 x 16 mm
Greutate: 0.8 kg
Editura: SPRINGER NETHERLANDS
Colecția Advances in Vegetation Science
Seria Advances in Vegetation Science
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
The development of numerical classification and ordination.- Searching for a model for use in vegetation analysis.- An algorithm for predictive ordination.- Vegetation analysis and order invariant gradient models.- Evaluation of ordination methods through simulated coenoclines: Some comments.- On the interpretability of ordination diagrams.- Detrended correspondence analysis: An improved ordination technique.- Non-centred component analysis of vegetation data: A comparison of orthogonal and oblique rotation.- Some applications of principal components analysis in vegetation: Ecological research of aquatic communities.- On selecting indirect ordination methods.- Information efficiency and regional constellation of environmental variables.- A syntactic basis of classification.- The minimisation of random events in the search for group structure.- Rapid initial clustering of large data sets.- Hierarchical levels in syntaxonomy based on information functions.- Numerical approaches to lake classification with special reference to macrophyte communities.- Preliminary survey of the peat-bog Hummell Knowe Moss using various numerical methods.- Classification and ordination in the Indian Peaks area, Colorado Rocky Mountains.- Multivariate analysis of multispectral remote sensing data on grasslands from different soil types.- Ordinations as a tool for analyzing complex data sets.- Management and multivariate analysis of large data sets in vegetation research.- Reflections on the phytosociological approach and the epistemological basis of vegetation science.- List of participants.