This page contains links to various documents and programs that will be used during the course
Day 1
"File: Script_graphic_rotation_3-D.pdf" (R demonstration)
"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" (Figure)
Day 2
"Some measures of resemblance" (Teaching document)
"Symmetrical and asymmetrical coefficients" (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, AIC, F-statistic" (Chapter extract)
"Polynomial regression, trend surface analysis" (Teaching document)
"Partial linear regression and variation partitioning" (Chapter extract)
"Partial and semipartial correlation" (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)
"General linear model" (Classroom notes)
Day 4
"Spatial eigenfunction methods" (Print of a PowerPoint presentation)
"Dissecting the spatial structure of ecological data at multiple scales" (Article)
"Modelling the effect of directional spatial ecological processes at different scales" (Article)
Day 5
"Spatial structure functions: correlograms, variograms; interpolated maps" (Chapter extract)
"Other eigenfunction-based methods of spatial analysis" (Chapter extract)
"Constrained_clustering" (Chapter extract)
"Test of space-time interaction" (pdf of a PowerPoint presentation)
Other documents
"Distance-based redundancy analysis..." (Article)
"Response of 20 native tree species..." (Article)
"Dissecting the spatial structure of ecological data at multiple scales" (Article)
"Modelling the effect of directional spatial ecological processes at different scales" (Article)
Practicals last updated in May 2013
Folder containing practicals using the R statistical language
Folder containing 3 exercises in R on spatial eigenfunction analysis
R functions and PDF reprints from the lab of Pierre Legendre