Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

  title={Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices},
  author={Bo Huang and Bo Wu and Michael Barry},
  journal={International Journal of Geographical Information Science},
By incorporating temporal effects into the geographically weighted regression (GWR) model, an extended GWR model, geographically and temporally weighted regression (GTWR), has been developed to deal with both spatial and temporal nonstationarity simultaneously in real estate market data. Unlike the standard GWR model, GTWR integrates both temporal and spatial information in the weighting matrices to capture spatial and temporal heterogeneity. The GTWR design embodies a local weighting scheme… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 27 references

Thematic map comparison: evaluating the statistical significance of differences in classification accuracy

  • G. M. Foody
  • Photogrammetric Engineering and Remote Sensing,
  • 2004
Highly Influential
3 Excerpts

Spatio-temporal analysis of rural-urban land conversion

  • B. Huang, L. Zhang, B. Wu
  • International Journal of Geographical Information…
  • 2009
1 Excerpt

Exploring spatial effects on housing price: the case study of the city of Calgary

  • P. Wang
  • 2006
1 Excerpt

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