Geographically Weighted Regression : A Method for Exploring Spatial Nonstationarity

@inproceedings{Brunsdon2010GeographicallyWR,
  title={Geographically Weighted Regression : A Method for Exploring Spatial Nonstationarity},
  author={Chris Brunsdon and Stewart Fotheringham and Martin E. Charlton},
  year={2010}
}
model which allows diferent relationships to exist at diferent points in space. This technique is loosely based on kernel regression. The method itself is introduced and related issues such as the choice of a spatial weighting function are discussed. Following this, a series of related statistical tests are considered which can be described generally as tests f o r spatial nonstationarity. Using Monte Carlo methods, techniques are proposed fo r investigatin the null 
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