Summary: COLLOQUIUM
University of Regina
Department of Mathematics & Statistics
Speaker: Dr. Pedro Peres-Neto
University of Regina
Department of Biology
Title: Spatial modelling in ecology: the flexibility of eigenfunction
spatial analyses
Date: Friday, March 17, 2006
Time: 3:30 p.m.
Place: Math & Stats Lounge (CW 307.20)
Abstract
Recently, analytical approaches based on the eigenfunctions of spatial
configuration matrices have been proposed in order to consider explicitly
spatial predictors. The present study demonstrates the usefulness of
eigenfunctions in spatial modeling applied to ecological problems and shows
equivalencies of and differences between the two current methods in this
category. The two approaches in this category are the distance-based (DB)
eigenvector maps and spatial filtering based upon geographic connectivity
matrices (i.e., topology-based; CB). In both cases, the goal is to create

Source: Argerami, Martin - Department of Mathematics and Statistics, University of Regina

Collections: Mathematics