MODELING THE SPATIO-TEMPORAL RELATIONSHIPS FOR THE DISTRIBUTION OF POPULATION WITH GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION

[1]  J. Mylonakis,et al.  The D-CAPM: The Case of Great Britain and France , 2010 .

[2]  James P. LeSage,et al.  “Theory and Practice of Spatial Econometrics” , 2015 .

[3]  Peter A. Whigham,et al.  A preliminary investigation of the stability of Geographically-Weighted Regression , 2007 .

[4]  Bo Wu,et al.  Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices , 2010, Int. J. Geogr. Inf. Sci..

[5]  William G. Axinn,et al.  Social Organization, Population, and Land Use1 , 2011, American Journal of Sociology.

[6]  Martin Charlton,et al.  The Geography of Parameter Space: An Investigation of Spatial Non-Stationarity , 1996, Int. J. Geogr. Inf. Sci..

[7]  J. Mennis Mapping the Results of Geographically Weighted Regression , 2006 .

[8]  A. Stewart Fotheringham,et al.  Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity , 2010 .

[9]  Petter Holme,et al.  Relating Land Use and Human Intra-City Mobility , 2015, PloS one.

[10]  Anita Talib,et al.  Modelling Urban Land Use Change Using Geographically Weighted Regression and the Implications for Sustainable Environmental Planning , 2010 .

[11]  Martin Charlton,et al.  Application of Geographically Weighted Regression toa 19-year set of house price data in London tocalibrate local hedonic price models , 2007 .

[12]  Martin Charlton,et al.  Combining Geographically Weighted Regression and Geovisual Analytics to investigate temporal variations in house price determinants across London in the period 1980-1998 , 2008 .

[13]  Luis F. Miranda-Moreno,et al.  Modeling the Effect of Land Use on Activity Spaces , 2012 .

[14]  A. Stewart Fotheringham,et al.  Trends in quantitative methods I: stressing the local , 1997 .

[15]  Coro Chasco,et al.  Modeling spatial variations in household disposable income with Geographically Weighted Regression , 2007 .