Dear All
> Examining Spatial Heterogeneity through Geographically Weighted Regression
>
> <>
> Prof . Stewart Fotheringham, NUI .
> March 7th (Wednesday) ,15:00, Room A2002, Main Building
>
>
> A common statistical modelling technique used in spatial analysis is
> that of regression. In standard applications of regression a dependent
> variable is linked to a set of independent variables with one of the
> main outputs of the modelling procedure being the estimation of a
> parameter that links each independent variable to the dependent
> variable. A major problem with this technique when applied to spatial
> data is that the processes being examined are assumed to be constant
> over space - that is, one model fits all. Geographically Weighted
> Regression (GWR) is a statistical technique that allows the modelling
> of processes that vary over space. GWR results in a set of local
> parameter estimates for each relationship which can be mapped to
> produce a parameter surface across the study region. In this way, GWR
> can provide information on the nature of the processes being
> investigated and is increasingly preferred to traditional global types
> of regression modelling. The seminar will provide a general overview
> to GWR as well as introducing some of the statistical issues we are
> currently grappling with. The use of user-friendly software for GWR
> will also be described.
>
Tea is taken about 15 mins before the talk
All Welcome !
Best
Gilbert
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Prof. Gilbert MacKenzie
Dept. of Mathematics & Statistics,
University of Limerick,
Limerick
Ireland
CoB ~ http://www.ul.ie/biostatistics
ISA ~ http://www.istat.ie.
Gilbert ~ http://www.staff.ul.ie/mackenzieg
Email: [log in to unmask]
Tel: +353 (0)61 213499
Fax: +353 (0)61 334927
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