[1]
|
A. S. Fotheringham, C. Brunsdon and M. E. Charlton, “Geographically Weighted Regression: The Analysis of Spatially Varying Relationships,” Wiley, Chichester, 2002.
|
[2]
|
L. Anselin, “Local Indicator of Spatial Association—LISA,” Geographical Analysis, Vol. 27, No. 2, 1995, pp. 93-101. http://dx.doi.org/10.1111/j.1538-4632.1995.tb00338.x
|
[3]
|
A. Getis and J. K. Ord, “The Analysis of Spatial Association by Use of Distance Statistics,” Geographical Analysis, Vol. 24, No. 3, 1992, pp. 189-206. http://dx.doi.org/10.1111/j.1538-4632.1992.tb00261.x
|
[4]
|
P. A. Rogerson, “Statistical Methods for Geography,” SAGE Publications Ltd, London, 2001.
|
[5]
|
L. Anselin, “The Moran Scatter Plot as an ESDA Tool to Assess Local Instability in Spatial Association,” In: M. Fischer, H. Scholten and D. Unwin, Eds., Spatial Analytical Perspectives on GIS in Environmental and SocioEconomic Sciences, 1996, pp. 111-125.
|
[6]
|
J. Haslett, R. Bradley, P. Craig, A. Unwin and C. Wills, “Dynamic Graphics for Exploring Spatial Data with Applications to Locating Global and Local Anomalies,” The American Statistician, Vol. 45, No. 3, 1991, pp. 234-242.
|
[7]
|
S. A. Mathews and T. C. Yang, “Mapping the Results of Local Statistics: Using Geographically Weighted Regression,” Demographic Research, Vol. 26, No. 6, 2012, pp. 151-166. http://dx.doi.org/10.4054/DemRes.2012.26.6
|
[8]
|
C. Brunsdon, A. S. Fotheringham and M. E. Charlton, “Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity,” Geographical Analysis, Vol. 28, No. 4, 1996, pp. 281-298. http://dx.doi.org/10.1111/j.1538-4632.1996.tb00936.x
|
[9]
|
C. Lin and T. Wen, “Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue,” International Journal of Environmental Research and Public Health, Vol. 8, No. 7, 2011, pp. 2798-2814. http://dx.doi.org/10.3390/ijerph8072798
|
[10]
|
T. Nakaya, A. S. Fotheringham, C. Brunsdon and M. Charlton, “Geographically Weighted Poisson Regression for Disease Association Mapping,” Statistics in Medicine, Vol. 24, No. 17, 2005, pp. 2695-2717. http://dx.doi.org/10.1002/sim.2129
|
[11]
|
T. C. Yang, P. C. Wu, V. Y. J. Chen and H. J. Su, “Cold Surge: A Sudden and Spatially Varying Threat to Health?” Science of the Total Environment, Vol. 407, No. 10, 2009, pp. 3421-3424. http://dx.doi.org/10.1016/j.scitotenv.2008.12.044
|
[12]
|
V. Y. J. Chen, P. C. Wu, T. C. Yang and H. J. Su, “Examining Non-stationary Effects of Social Determinants on Cardiovascular Mortality after Cold Surges in Taiwan,” Science of the Total Environment, Vol. 408, No. 9, 2010, pp. 2042-2049. http://dx.doi.org/10.1016/j.scitotenv.2009.11.044
|
[13]
|
P. Goovaerts, “Analysis and Detection of Health Disparities Using Geostatistics and a Space-time Information System: The Case of Prostate Cancer Mortality in the United States, 1970-1994,” Proceedings of GIS Planet, Estoril, 2005.
|
[14]
|
L. Zhang, B. Huiquan, C. Pengfei and J. D. Craig, “Modeling Spatial Variation in Tree Diameter-Height Relationships,” Forest Ecology and Management, Vol. 189, No. 1-3, 2004, pp. 317-329. http://dx.doi.org/10.1016/j.foreco.2003.09.004
|
[15]
|
J. M. Fernandez, E. Chuvieco and N. Koutsias, “Modelling Long-Term Fire Occurrence Factors in Spain by Accounting for Local Variations with Geographically Weighted Regression,” Natural Hazards and Earth System Sciences, Vol. 13, 2013, pp. 311-327. http://dx.doi.org/10.5194/nhess-13-311-2013
|
[16]
|
J. L. Mennis and L. M. Jordan, “The Distribution of Environmental Equity: Exploring Spatial Non-Stationarity in Multivariate Models of Air Toxic Releases,” Annals of the Association of American Geographers, Vol. 95, No. 2, 2005, pp. 249-268. http://dx.doi.org/10.1111/j.1467-8306.2005.00459.x
|
[17]
|
J. Malczewski and A. Poetz, “Residential Burglaries and Neighborhood Socioeconomic Context in London, Ontario: Global and Local Regression Analysis,” The Professional Geographer, Vol. 57, No. 4, 2005, pp. 516-529. http://dx.doi.org/10.1111/j.1467-9272.2005.00496.x
|
[18]
|
D. L. Yu, Y. D. Wei and C. Wu, “Modeling Spatial Dimensions of Housing Prices in Milwaukee, WI,” Environment and Planning B: Planning and Design, Vol. 34, No. 6, 2007, pp. 1085-1102. http://dx.doi.org/10.1068/b32119
|
[19]
|
F, Zhao, L. Chow, M. Li and X. Liu, “A Transit Ridership Model Based on Geographically Weighted Regression and Service Quality Variables,” Final Report Prepared for Public Transit Office, Florida Department of Transportation Lehman Center for Transportation Research, 2005, pp. 1-149. http://lctr.eng.fiu.edu/re-project-link/finaldo97591_bw.pdf
|
[20]
|
M. D. Partridge and D. S. Rickman, “Persistent Pockets of Extreme American Poverty: People or Place Based?” Rural Poverty Research Center, Columbia, Working Paper, 2005.
|
[21]
|
L. M. Scott and M. V. Janikas, “Spatial Statistics in ArcGIS,” In: M. M. Fischer and A. Getis, Eds., Handbook of Applied Spatial Analysis: Software Tools, Method and Applications, Springer-Verlag, Berlin Heidelberg, 2010, pp. 27-41. http://dx.doi.org/10.1007/978-3-642-03647-7_2
|
[22]
|
M. Charlton and A. S. Fotheringham, “Geographically Weighted Regression,” White Paper for Science Foundation, Ireland, 2009, pp. 1-14. http://www.geos.ed.ac.uk/~gisteac/fspat/gwr/arcgis_gwr/GWR_WhitePaper.pdf
|