Spatial analysis of beta diversity

in multi-species communities


Fushan Botanical Garden, Ilan, Taiwan

April 27-29, 2016


Pierre Legendre

Université de Montréal


This page contains links to various documents and programs that will be used during the course

Course outline, Fushan 2016


Documents in PDF format

Day 1

"Origin_of_spatial_structures" (pdf of a PowerPoint presentation)

"Algebra of Principal Component, Correspondence, and Principal Coordinate Analyses" (Teaching document)

"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)

"Canonical analysis" (Classroom notes)

Day 2

"Beta diversity partitioning" (pdf of a seminar)

"Replacement and richness difference components of beta diversity" (pdf of a seminar)

"Temporal beta diversity" (pdf of a seminar)

Day 3

"Spatial eigenfunction methods" (pdf of a PowerPoint presentation)

"Other eigenfunction-based methods of spatial analysis" (Chapter extract)

"Test of space-time interaction" (pdf of a PowerPoint presentation)

Published papers referred to in the course

"Dissecting the spatial structure of ecological data at multiple scales, Ecology 2004" (Article)

"Analyzing beta diversity: partitioning spatial variation of community data, Ecol. Monographs 2005" (Article)

"Modelling the effect of directional spatial ecological processes at different scales, Oecologia 2011" (Article)

"Legendre & De Caceres, Beta diversity partitioning, Ecology Letters 2013" (Article)

"Legendre, Repl and Rich.diff components of beta, Global Ecology and Biogeography 2014" (Article)

"Legendre & Gauthier, Space-time analysis, Proc. Roy. Soc. B 2014" (Article)


Practicals in R

Practicals last updated in April 2016

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