Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression

By Yee Leung, Changlin Mei, Wenxiu Zhang. 2000

151 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fb811db205468739b395d0cd23ff5ad1a28eb9a8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

Citations in the corpus

Local Linear Estimation of Spatially Varying Coefficient Models: An Improvement on the Geographically Weighted Regression Technique (2008, background): “…problems that have been addressed in the context of the basic GWR (for example, see Brunsdon et al, 1999a; Fotheringham et al, 2002; Leung et al, 2000a; 2000b), some other hypotheses on the functional forms of the coefficients bj (u, v) ( j 1, 2, . . . , p) may be further tested,…”
Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria (2014, methodology): “…transformed sales price of observation 𝑖, 𝑖 ∈ 1, … ,𝑛, 𝛽𝑗 are the global coefficients of covariates 𝑥𝑖𝑗 , 𝑗 ∈ 1, … ,𝑘 , and are the 𝛽𝑙(𝑢𝑖,𝑣𝑖) , 𝑙 ∈ 𝑘 + 1, … ,𝑚 , the local coefficients of covariates 𝑥𝑖𝑙 at the coordinates (𝑢𝑖 , 𝑣𝑖) of observation 𝑖. Leung et al.…”
Testing the Importance of the Explanatory Variables in a Mixed Geographically Weighted Regression Model (2006, methodology): “The cross-validation (CV) procedure that has been used in the GWR technique (for example, see Brunsdon et al, 1996; 1998; Fotheringham et al, 1997a; 1997b; Leung et al, 2000a; 2000b) can be directly extended to the case of the MGWR models.”
Extreme Coefficients in Geographically Weighted Regression and Their Effects on Mapping (2009, background): “…are globally stationary (Brunsdon et al., 1996, 1999, 2001; McMillen, 1996; Fotheringham et al., 1998, 2002; Fotheringham and Brunsdon, 1999; Leung et al., 2000a, 2000b; Huang and Leung, 2002; Yu and Wu, 2004; Laffan et al., 2005; Cho et al., 2006, 2009a; Lambert et al., 2006; Yu, 2006,…”
Modeling Spatial Dimensions of Housing Prices in Milwaukee, WI (2007, background): “In addition, the coefficient nonstationarity test (Leung et al, 2000a) indicates that all the coefficients of the GWR model significantly vary over space (at more than a 99% confidence level).”
Geographically weighted regression bandwidth selection and spatial autocorrelation: an empirical example using Chinese agriculture data (2010, background): “, 2000a , b ; Huang and Leung, 2002 ; Paez et al.”
Measuring the Contribution of Water and Green Space Amenities to Housing Values: An Application and Comparison of Spatially Weighted Hedonic Models (2006, background): “…has recently been applied intensively to test local heterogeneity (Brunsdon, Fotheringham, and Charlton 1996, 1999; Fotheringham and Brunsdon; Fotheringham, Brunsdon, and Charlton 1998, 2002; Huang and Leung; Leung, Mei, and Zhang 2000a, 2000b; Paez, Uchida, and Miyamoto, 2002a 2002b; Yu and Wu).”
Mapping the mean annual precipitation of China using local interpolation techniques (2014, unknown): “But one assumption is required for GWR applicable to the varying-parameter model, which is the disturbance terms are independent and identically distributed (Leung et al. 2000).”