David Wheeler, Catherine A. Calder. An assessment of coefficient accuracy in linear regression models with spatially varying coefficients[J]. Geographical System,2007,9: 145-166.
Cropper, M L, Deck L B, Mcconnell K E. On the choice of functional form for hedonic price functions [J]. Review of Economics and Statistics, 1988, 70(4): 668-675.
[5]
Hamilton,S E, Morgan A. Integrating lidar, GIS and hedonic price modeling to measure amenity values in urban beach residential property markets [J]. Computers Environment and Urban Systems, 2010, 34(2): 133-141.
Paeza, Uchida T, Miyamoto K, Spatial association and heterogeneity issues in land price models [J]. Urban Studies, 2001, 38 (9):1493-1508.
[8]
Fik T J, Ling D C, Mulligan G F. Modeling spatial variation in housing prices: a variable interaction approach [J]. Real Estate Economics, 2003, 31(4): 623-646.
[9]
Farber S, Yates M. A comparison of localized regression models in an hedonic price context [J]. Canadian Journal of Regional Science, 2006, XXIX (3): 405-420.
[10]
Bittter C, Mulligan G F, Dallerba S. Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method [J]. Journal of Geographical Systems, 2007, 9(1): 7-27.
[11]
Gao Xiaolu,Asami Yasushi,Chung Chang-Jo F. An empirical evaluation of spatial regression models, Computers and Geosciences, 2006,32(8): 1040-1051.
Cheng J Q, Masser I. Urban growth pattern modeling: a case study of Wuhan city, PR China [J]. Landscape and Urban Planning, 2003, 62(4): 199-217.
[27]
Pavlo A D. Space-varying regression coefficients: a semi-parametric approach applied to real estate markets [J]. Real Estate Economics, 2000, 28(2): 249-283.