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Application of geographically weighted regression for modelling the spatial structure of urban heat island in the city of Wroclaw (SW Poland)

Authors
Publisher
Elsevier B.V.
Publication Date
Volume
3
Identifiers
DOI: 10.1016/j.proenv.2011.02.016
Keywords
  • Urban Heat Island
  • Geographically Weighted Regression
  • Multiple Regression
  • Residual Kriging
  • Spatial Interpolation
  • Gis

Abstract

Abstract Geographically weighted regression (GWR) and Multiple Linear Regression (MLR) models have been applied to derive the spatial structure of urban heat island (UHI) in Wrocław, SW Poland and compared. It was found that GWR is better suited for spatial modeling of UHI than MLR, as it takes into account non-stationarity of the spatial process. Both local and global models were extended by the interpolation of regression residuals, and used for spatial interpolation of the UHI structure. The combined: GWR + interpolated regression residuals (GWRK) approach is recommended for spatial modeling of UHI © 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics2011

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