Université de Montréal

Université de Montréal
Département des Sciences Biologiques
C.P. 6128 succ. "Centre-Ville",
Montréal, Québec, Canada H3C 3J7
* Version française
* Numerical Ecology
* R Functions
* BIO 6077: Quantitative analysis of biological data
* Tirés à parts / Reprints

* Logiciels et Jeux de Données / Computer Programs and Datasets
* Le personnel du département

Graduate course offered at Université de Montréal (winter semester):

Quantitative analysis of biological data

Bio 6077 (4 credits)

Prof.: Pierre Legendre Class page: http://biol09.biol.umontreal.ca/BIO6077/ Syllabus in PDF format
TopicChapters
  1. Introduction. Basic concepts. Matrix algebra.
    (1 and 2)
  2. Basic concepts. Transformations. Matrix algebra.
    (1 and 2)
  3. Multidimensional quantitative data.
    (4)
  4. Multidimensional semiquantitative and qualitative data.
    (5; 6.0 to 6.2; 6.4)
  5. Ressemblance measures.
    (7, except 7.5.2)
  6. Agglomerative clustering.
    (8.0 to 8.6)
  7. Other clustering methods. Species associations. Constrained clustering.
    (7.5.2; 8.7-8.13; 12.6)
  8. Spatial and temporal analysis: correlograms, variogram, periodograms; mapping methods.
    (12, except 12.6; 13.0-13.4)
  9. Principal component analysis.
    (9.0, 9.1)
  10. Other methods of ordination in reduced space.
    (9.2 à 9.5)
  11. Interpretation of ecological structures.
    (10)
  12. Canonical analysis.
    (11)
  13. Causal modelling of spatial phenomena using partial canonical analysis and partial Mantel tests.
    (13.5-13.7)
Course given in French. Textbook in English. The students read the chapters which are then discussed in class. Textbook: Legendre, P. & Legendre, L. 1998. Numerical Ecology, 2nd English edition. Elsevier Science BV, Amsterdam. xv + 853 pages.
Mis-à-jour le Mardi 03 janvier 2012