Corpus ID: 54653067

Modelling Urban Land Use Change Using Geographically Weighted Regression and the Implications for Sustainable Environmental Planning

@inproceedings{Shariff2010ModellingUL,
  title={Modelling Urban Land Use Change Using Geographically Weighted Regression and the Implications for Sustainable Environmental Planning},
  author={N. M. Shariff and S. Gairola and A. Talib},
  year={2010}
}
  • N. M. Shariff, S. Gairola, A. Talib
  • Published 2010
  • Geography
  • In this study we applied Geographically Weighted Regression (GWR) approach to model urban land use changes in Penang Island from 1990 to 2005, covering the period during which the Island has experienced tremendous urban growth due to in migration from adjacent areas. Land use change has potential impacts on the physical and social environment. We identified spatial variables describing environment, physical and socioeconomic factors which are hypothesized to influence the change in the land use… CONTINUE READING
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