References
- Clement, F., D. Orange, M. Williams, C. Mulley and M. Epprecht. 2009. Drivers of afforestation in Northern Vietnam: assessing local variations using geographically weighted regression. Applied Geography 29:561-576. https://doi.org/10.1016/j.apgeog.2009.01.003
- Cutter, S.L., M.E. Hodgson and K. Dow. 2001. Subsidized inequities: the spatial patterning of environmental risks and federally assisted housing. Urban Geography 22(1):29-53. https://doi.org/10.2747/0272-3638.22.1.29
- Fotheringham, S.A., C.F. Brunsdon and M.E. Charlton. 2002. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester, U.K.: Wiley. 269pp.
- Fotheringham, S.A., M.E. Charlton and C.F. Brunsdon. 1996. The geography of parameter space: an investigation into spatial nonstationarity. International Journal of Geographical Information Systems 10:605-627. https://doi.org/10.1080/02693799608902100
- Gao, J. and S. Li. 2011. Detecting spatially non‐stationary and scaledependent relationships between urban landscape fragmentation and related factors using geographically weighted regression. Applied Geography 31:292-302. https://doi.org/10.1016/j.apgeog.2010.06.003
- Harner, J., K. Warner, J. Pierce and T. Huber. 2002. Urban environmental justice indices. The Professional Geographer 54(3):318-331. https://doi.org/10.1111/0033-0124.00333
- Harris, P., A.S. Fortheringham and S. Juggins. 2010. Robust geographically weighted regression: a technique for quantifying spatial relationships between freshwater acidification critical loads and catchment attributes. Annals of the Associations of American Geographers 100(2):286-306. https://doi.org/10.1080/00045600903550378
- Holifield, R. 2001. Defining environmental justice and environmental racism. Urban Geography 22(1):78-90. https://doi.org/10.2747/0272-3638.22.1.78
- Jun, B.W. 2006a. An evaluation of a dasymetric surface model for spatial disaggregation of zonal population data. Journal of The Korean Association of Regional Geographers 12(5):614-630.
- Jun, B.W. 2006b. Urban quality of life assessment using satellite image and socioeconomic data in GIS. Korean Journal of Remote Sensing 22(5):325-335. https://doi.org/10.7780/kjrs.2006.22.5.325
- Jun, B.W. 2008. A spatial multicriteria analysis approach to urban quality of life assessment. Journal of The Korean Association of Geographic Information Studies 11(4):122-138.
- Liu, F. 2001. Environmental Justice Analysis: Theories, Methods, and Practice. New York, NY: Lewis Publishers. 367pp.
- Lloyd, C.D. 2010. Exploring population spatial concentrations in Northern Island by community background and other characteristics: an application of geographically weighted regression. International Journal of Geographical Information Science 24(8):1193-1221. https://doi.org/10.1080/13658810903321321
- Longley, P.A. and C. Tobon. 2004. Spatial dependence and heterogeneity in patterns of hardship: an intra‐urban analysis. Annals of the Associations of American Geographers 94(3):503-519. https://doi.org/10.1111/j.1467-8306.2004.00411.x
- Mennis, J. 2006. Mapping the results of geographically weighted regression. The Cartographic Journal 43(2):171-179. https://doi.org/10.1179/000870406X114658
- Mennis, J. and L. Jordan. 2005. The distribution of environmental equity: exploring spatial nonstationarity in multivariate models of air toxic releases. Annals of the Association of American Geographers 95(2):249-268. https://doi.org/10.1111/j.1467-8306.2005.00459.x
- Ogneva‐Himmelberger, Y., H. Pearsall and R. Rakshit. 2009. Concrete evidence and geographically weighted regression: a regional analysis of wealth and the land cover in Massachusetts. Applied Geography 29:478-487. https://doi.org/10.1016/j.apgeog.2009.03.001
- Scull, P. 2010. A top-down approach to the state factor paradigm for use in macroscale soil analysis. Annals of the Associations of American Geographers 100(1):1-12. https://doi.org/10.1080/00045600903362279
- Sjoquist, D.L.(ed.). 2000. The Atlanta Paradox. New York, NY: Russell Sage Foundation. 300pp.
- Tu, J. 2011. Spatially varying relationships between land use and water quality across an urbanization gradient explored by geographically weighted regression. Applied Geography 31:376-392. https://doi.org/10.1016/j.apgeog.2010.08.001
Cited by
- Local Analysis of the spatial characteristics of urban flooding areas using GWR vol.23, pp.1, 2014, https://doi.org/10.14249/eia.2014.23.1.39