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SUMMARY:Geographically Weighted Regression: A Brief Overview and Some Rece
 nt Developments
DTSTART:20110307T161500
DTSTAMP:20260603T235701Z
UID:f8564576cf589c2a8e8f890881b0d5be2d9f1bd35a6e13c7644eec65
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Stewart FOTHERINGHAM\;  National Centre for Geocomputati
 on\, IE\nGeographically Weighted Regression (GWR) is a statistical techniq
 ue developed by the author and two colleagues to examine possible spatial 
 non-stationarity in relationships.  The concept is extremely simple but ex
 tremely powerful and can easily be extended to domains other than regressi
 on and is applicabale to a wide range of areas. The power of GWR is that i
 t replaces a global model with a series of local models each of which reve
 als processes operating at specific locations.  Traditional models tend to
  produce parameter estimates which are global averages of these local cond
 itions.  The basic premise of GWR will be described and two examples shown
  of its use.  Several extensions of this basic framework will then be disc
 ussed briefly. 
LOCATION:GR B3 30
STATUS:CONFIRMED
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