This page contains links to various documents and programs that will be used during the course
Day 1
"From classical to canonical ordination" (Chapter)
"Contingency table analysis" (Teaching document)
"Transformations for ordination of species data" (Chapter extract)
"Ordination methods for community composition data tables" (Figure)
Day 2
"Some measures of resemblance" (Teaching document)
"Is Miss America an undernourished role model?" (Article)
"Multiple regression: computing the parameters by matrix inversion" (Teaching document)
"R-square, adjusted R-square" (Chapter extract)
"Akaike Information Criterion (AIC)" (Wikipedia article)
"Polynomial regression, trend surface analysis" (Teaching document)
"Partial linear regression and variation partitioning" (Chapter extract)
"Multiple regression with permutation test" (R function)
Day 3
"Statistical tests, permutation tests" (Chapter extract)
"Permutation test summary" (Classroom notes)
"Canonical analysis" (Classroom notes)
"Response of 20 native tree species..." (Article)
"Distance-based redundancy analysis..." (Article)
Day 4
"Origin of spatial structures" (Classroom notes)
"Variation partitioning and PCNM analysis" (Print of a PowerPoint presentation)
"Dissecting the spatial structure of ecological data at multiple scales" (Article)
"Modelling directional spatial processes in ecological data" (Article manuscript)
Day 5
"Spatial structure functions: correlograms, variograms" (Chapter extract)
"Cartographic interpolation, kriging" (Chapter extract)
"A balanced view of scale in spatial statistical analysis" (Article)
Other documents
(There is nothing in this section at the moment)
Practicals last updated in February 2011
Folder containing practicals using the R statistical language
R functions and PDF reprints from the lab of Pierre Legendre