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

International Journal of Geographical Information Science

Volumn 24, Issue 3, 2010, Pages 383-401

  Huang, Bo ^a   Wu, Bo ^b   Barry, Michael ^c  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b FUZHOU UNIVERSITY   (China)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

Geographically and temporally weighted regression; Geographically weighted regression; Housing price; calgary; Spatial nonstationarity; Temporal nonstationarity

Indexed keywords

GIS; HOUSING MARKET; MODELING; REGRESSION ANALYSIS; SPATIOTEMPORAL ANALYSIS;

ALBERTA; CALGARY; CANADA;

EID: 77949339739     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658810802672469     Document Type: Article

References (27)

1. Anselin, L., 1998. GIS research infrastructure for spatial analysis of real estate markets. Journal of Housing Research, 9, 113-133.
2. Brunsdon, C., Fotheringham, A.S., and Charlton, M., 1996. Geographically weighted regression: a method for exploring spatial non-stationarity. Geographical Analysis, 28, 281-298.
3. Brunsdon, C., Fotheringham, A.S., and Charlton, M., 1999. Some notes on parametric significance tests for geographically weighted regression. Journal of Regional Sciences, 39, 3, 497-524.
4. Can, A., 1992. Specification and estimation of hedonic housing price models. Regional Science and Urban Economics, 22, 453-474.
5. Can, A. and Megbolugbe, I., 1997. Spatial dependence and house price index construction. Journal of Real Estate Finance and Economics, 14, 203-222.
6. Dombrow, J., Knight, J.R., and Sirmans, C.F., 1997. Aggregation bias in repeat sales indices. Journal of Real Estate Finance and Economics, 14, 75-88.
7. Dubin, R.A., 1992. Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics, 22, 432-452.
8. Eckert, J.K., ed., 1990. Property appraisal and assessment administration. Chicago, IL: International Association of Assessing Officers.
9. Foody, G.M., 2004. Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering and Remote Sensing, 70, 627-633.
10. Fotheringham, A.S., Brunsdon, C., and Charlton, M., 2002. Geographically weighted regression. Chichester, UK: John Wiley and Sons.
11. Fotheringham, A.S., Charlton, M.E., and Brunsdon, C., 1996. The geography of parameter space: an investigation of spatial non-stationarity. International Journal of Geographical Information Science, 10, 605-627.
12. Fotheringham, A.S., Charlton, M.E., and Brunsdon, C., 1998. Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis. Environment and Planning A, 30, 1905-1927.
13. Gelfand, A.E., et al., 2001. The dynamics of location in home prices. Journal of Real Estate Finance and Economics, 29, 149-166.
14. Gelfand, A.E., et al., 2003. Spatial modeling with spatially varying coefficients processes. Journal of the American Statistical Association, 98, 387-396.
15. Goodman, A.C. and Thibodeau, T.G., 1998. Housing market segmentation. Journal of Housing Economics, 7, 121-143.
16. Huang, B., Zhang, L., and Wu, B., 2009. Spatio-temporal analysis of rural-urban land conversion. International Journal of Geographical Information Science, 23, 379-398.
17. Hurvich, C.M., Simonoff, J.S., and Tsai, C.L., 1998. Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. Journal of the Royal Statistical Society (Series B), 60, 271-293.
18. Langville, A.N. and Steward, W.J., 2004. The Kronecker product and stochastic automata networks. Journal of computational and applied mathematics, 164, 429-447.
19. Leung, Y., Mei, C.L., and Zhang, W.X., 2000. Statistical tests for spatial nonstationarity based on the geographically weighted regression model. Environment and Planning A, 32, 9-32
20. McMillen, D.P., 1996. One hundred fifty years of land values in Chicago: a nonparametric approach. Journal of Urban Economics, 40, 100-124.
21. McMillen, D.P. and McDonald, J.F., 1997. A nonparametric analysis of employment density in a polycentric city. Journal of Regional Science, 37, 591-612.
22. Pace, R.K., Barry, R., and Sirmans, C.F. 1998. Spatial statistics and real estate. Journal of Real Estate Finance and Economics, 17, 5-13.
23. Paez, A., Uchida, T., and Miyamoto, K., 2002. A general framework for estimation and inference of geographically weighted regression models: location-specific kernel bandwidths and a test for local heterogeneity. Environmental and Planning A, 34, 733-754.
24. Pavlov, A., 2000. Space varying regression coefficients: a semi-parametric approach applied to real estate markets. Real Estate Economics, 28, 249-283.
25. Sirmans, G., Macpherson, D., and Zietz, A., 2005. The composition of hedonic pricing models. Journal of real Estate Literature, 13, 1, 3-41.
26. Wang, P., 2006. Exploring spatial effects on housing price: the case study of the city of Calgary. Master dissertation. University of Calgary, Canada.
27. Yu, D.-L., 2006. Spatially varying development mechanisms in the Greater Beijing area: a geographically weighted regression investigation. The Annals of Regional Science, 40, 1, 173-190.