메뉴 건너뛰기




Volumn 40, Issue 4, 2008, Pages 986-1005

Local linear estimation of spatially varying coefficient models: An improvement on the geographically weighted regression technique

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION METHOD; LEAST SQUARES METHOD; NUMERICAL MODEL; PLANNING METHOD; REGRESSION ANALYSIS; SPATIAL VARIATION;

EID: 43349090561     PISSN: 0308518X     EISSN: None     Source Type: Journal    
DOI: 10.1068/a3941     Document Type: Article
Times cited : (60)

References (39)
  • 1
    • 0037265126 scopus 로고    scopus 로고
    • Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression
    • Atkinson P M, German S E, Sear D A, Clark M J, 2003, "Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression" Geographical Analysis 35 58-82
    • (2003) Geographical Analysis , vol.35 , pp. 58-82
    • Atkinson, P.M.1    German, S.E.2    Sear, D.A.3    Clark, M.J.4
  • 2
    • 6144231228 scopus 로고    scopus 로고
    • Geographically weighted regression: A method for exploring spatial nonstationarity
    • Brunsdon C, Fotheringham A S, Charlton M, 1996, "Geographically weighted regression: a method for exploring spatial nonstationarity" Geographical Analysis 28 281-298
    • (1996) Geographical Analysis , vol.28 , pp. 281-298
    • Brunsdon, C.1    Fotheringham, A.S.2    Charlton, M.3
  • 3
    • 0001182913 scopus 로고    scopus 로고
    • Geographically weighted regression: Modelling spatial nonstationarity
    • Brunsdon C, Fotheringham A S, Charlton M, 1998, "Geographically weighted regression: modelling spatial nonstationarity" The Statistician 47 431-443
    • (1998) The Statistician , vol.47 , pp. 431-443
    • Brunsdon, C.1    Fotheringham, A.S.2    Charlton, M.3
  • 4
    • 0000722130 scopus 로고    scopus 로고
    • Some notes on parametric significance tests for geographically weighted regression
    • Brunsdon C, Fotheringham A S, Charlton M, 1999a, "Some notes on parametric significance tests for geographically weighted regression" Journal of Regional Science 39 497-524
    • (1999) Journal of Regional Science , vol.39 , pp. 497-524
    • Brunsdon, C.1    Fotheringham, A.S.2    Charlton, M.3
  • 5
    • 0032781633 scopus 로고    scopus 로고
    • A comparison of random coefficient modelling and geographically weighted regression for spatially non-stationary regression problems
    • Brunsdon C. Aitkin M, Fotheringham A S, Charlton M, 1999b, "A comparison of random coefficient modelling and geographically weighted regression for spatially non-stationary regression problems" Geographical and Environmental Modelling 3 47-62
    • (1999) Geographical and Environmental Modelling , vol.3 , pp. 47-62
    • Brunsdon, C.1    Aitkin, M.2    Fotheringham, A.S.3    Charlton, M.4
  • 6
    • 0035970433 scopus 로고    scopus 로고
    • Spatial variations in the average rainfall - altitude relationship in Great Britain: An approach using geographically weighted regression
    • Brunsdon C, McClatchey J, Unwin D J, 2001, "Spatial variations in the average rainfall - altitude relationship in Great Britain: an approach using geographically weighted regression" International Journal of Climatology 21 455-466
    • (2001) International Journal of Climatology , vol.21 , pp. 455-466
    • Brunsdon, C.1    McClatchey, J.2    Unwin, D.J.3
  • 7
    • 0038069434 scopus 로고    scopus 로고
    • The local voter: A geographically weighted approach to ecological inference
    • Calvo E, Escolar M, 2003, "The local voter: a geographically weighted approach to ecological inference" American Journal of Political Science 47 189-204
    • (2003) American Journal of Political Science , vol.47 , pp. 189-204
    • Calvo, E.1    Escolar, M.2
  • 8
    • 84982770928 scopus 로고
    • Generating models by the expansion method: Applications to geographic research
    • Casetti E, 1972, "Generating models by the expansion method: applications to geographic research" Geographical Analysis 4 81-91
    • (1972) Geographical Analysis , vol.4 , pp. 81-91
    • Casetti, E.1
  • 10
    • 0842306347 scopus 로고    scopus 로고
    • Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI - rainfall relationship
    • Foody G M, 2003, "Geographical weighting as a further refinement to regression modelling: an example focused on the NDVI - rainfall relationship" Remote Sensing of Environment 88 283-293
    • (2003) Remote Sensing of Environment , vol.88 , pp. 283-293
    • Foody, G.M.1
  • 11
    • 3142751254 scopus 로고    scopus 로고
    • Spatial nonstationarity and scale-dependency in the relationship between species and environmental determinants for the sub-Saharan endemic avifauna
    • Foody G M, 2004, "Spatial nonstationarity and scale-dependency in the relationship between species and environmental determinants for the sub-Saharan endemic avifauna" Global Ecology and Biogeography 13 315-320
    • (2004) Global Ecology and Biogeography , vol.13 , pp. 315-320
    • Foody, G.M.1
  • 12
    • 0002387801 scopus 로고    scopus 로고
    • Measuring spatial variations in relationships with geographically weighted regression
    • Eds M M Fischer, A Getis (Springer, London) pp
    • Fotheringham A S, Charlton M, Brunsdon C, 1997a, "Measuring spatial variations in relationships with geographically weighted regression", in Recent Developments in Spatial Analysis Eds M M Fischer, A Getis (Springer, London) pp 60-82
    • (1997) Recent Developments in Spatial Analysis , pp. 60-82
    • Fotheringham, A.S.1    Charlton, M.2    Brunsdon, C.3
  • 13
    • 0001952078 scopus 로고    scopus 로고
    • Two techniques for exploring non-stationarity in geographical data
    • Fotheringham A S, Charlton M, Brunsdon C, 1997b, "Two techniques for exploring non-stationarity in geographical data" Geographical System 4 59-82
    • (1997) Geographical System , vol.4 , pp. 59-82
    • Fotheringham, A.S.1    Charlton, M.2    Brunsdon, C.3
  • 14
    • 0032434789 scopus 로고    scopus 로고
    • Geographically weighted regression: A natural evolution of the expansion method for spatial data analysis
    • Fotheringham A S, Charlton M, Brunsdon C, 1998, "Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis" Environment and Planning A 30 1905-1927
    • (1998) Environment and Planning A , vol.30 , pp. 1905-1927
    • Fotheringham, A.S.1    Charlton, M.2    Brunsdon, C.3
  • 15
    • 0035061114 scopus 로고    scopus 로고
    • Spatial variations in school performance: A local analysis using geographically weighted regression
    • Fotheringham A S, Charlton M, Brunsdon C, 2001, "Spatial variations in school performance: a local analysis using geographically weighted regression" Geographical and Environmental Modelling 5 43-66
    • (2001) Geographical and Environmental Modelling , vol.5 , pp. 43-66
    • Fotheringham, A.S.1    Charlton, M.2    Brunsdon, C.3
  • 18
    • 8744311336 scopus 로고    scopus 로고
    • Analysing regional industrialisation in Jiangsu province using geographically weighted regression
    • Huang Y, Leung Y, 2002, "Analysing regional industrialisation in Jiangsu province using geographically weighted regression" Journal of Geographical Systems 4 233-249
    • (2002) Journal of Geographical Systems , vol.4 , pp. 233-249
    • Huang, Y.1    Leung, Y.2
  • 19
    • 0001354983 scopus 로고    scopus 로고
    • Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion
    • Hurvich C M, Simonoff J S, Tsai C L, 1998, "Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion" Journal of the Royal Statistical Society, Series B 60 271-293
    • (1998) Journal of the Royal Statistical Society, Series B , vol.60 , pp. 271-293
    • Hurvich, C.M.1    Simonoff, J.S.2    Tsai, C.L.3
  • 21
    • 0034094265 scopus 로고    scopus 로고
    • Statistical tests for spatial nonstationarity based on the geographically weighted regression model
    • Leung Y, Mei C L, Zhang W X, 2000a, "Statistical tests for spatial nonstationarity based on the geographically weighted regression model" Environment and Planning A 32 9-32
    • (2000) Environment and Planning A , vol.32 , pp. 9-32
    • Leung, Y.1    Mei, C.L.2    Zhang, W.X.3
  • 22
    • 0034034461 scopus 로고    scopus 로고
    • Testing for spatial autocorrelation among the residuals of the geographically weighted regression
    • Leung Y, Mei C L, Zhang W X, 2000b, "Testing for spatial autocorrelation among the residuals of the geographically weighted regression" Environment and Planning A 32 871-890
    • (2000) Environment and Planning A , vol.32 , pp. 871-890
    • Leung, Y.1    Mei, C.L.2    Zhang, W.X.3
  • 24
    • 21244478824 scopus 로고    scopus 로고
    • Spatial dependence and heterogeneity in patterns of hardship: An intra-urban analysis
    • Longley P A, Tobón C, 2004, "Spatial dependence and heterogeneity in patterns of hardship: an intra-urban analysis" Annals of the Association of American Geographers 94 503-519
    • (2004) Annals of the Association of American Geographers , vol.94 , pp. 503-519
    • Longley, P.A.1    Tobón, C.2
  • 25
    • 2542437658 scopus 로고    scopus 로고
    • Employment densities, spatial autocorrelation, and subcenters in large metropolitan areas
    • McMillen D P, 2004, "Employment densities, spatial autocorrelation, and subcenters in large metropolitan areas" Journal of Regional Science 44 225-243
    • (2004) Journal of Regional Science , vol.44 , pp. 225-243
    • McMillen, D.P.1
  • 26
    • 1642264983 scopus 로고    scopus 로고
    • A note on the mixed geographically weighted regression model
    • Mei C L, He S Y, Fang K T, 2004, "A note on the mixed geographically weighted regression model" Journal of Regional Science 44 143-157
    • (2004) Journal of Regional Science , vol.44 , pp. 143-157
    • Mei, C.L.1    He, S.Y.2    Fang, K.T.3
  • 27
    • 33645820840 scopus 로고    scopus 로고
    • Testing the importance of the explanatory variables in a mixed geographically weighted regression model
    • Mei C L, Wang N, Zhang W X, 2006, "Testing the importance of the explanatory variables in a mixed geographically weighted regression model" Environment and Planning A 38 587-598
    • (2006) Environment and Planning A , vol.38 , pp. 587-598
    • Mei, C.L.1    Wang, N.2    Zhang, W.X.3
  • 28
    • 3142747843 scopus 로고    scopus 로고
    • Geographic patterns in customer service and satisfaction: An empirical investigation
    • Mittal V, Kamakura W A, Govind R, 2004, "Geographic patterns in customer service and satisfaction: an empirical investigation" Journal of Marketing 68 48-62
    • (2004) Journal of Marketing , vol.68 , pp. 48-62
    • Mittal, V.1    Kamakura, W.A.2    Govind, R.3
  • 29
    • 0035759539 scopus 로고    scopus 로고
    • Local spatial interaction modelling based on the geographically weighted regression approach
    • Nakaya T, 2001, "Local spatial interaction modelling based on the geographically weighted regression approach" GeoJournal 53 347-358
    • (2001) GeoJournal , vol.53 , pp. 347-358
    • Nakaya, T.1
  • 31
    • 24944469977 scopus 로고    scopus 로고
    • Local analysis of spatial relationships: A comparison of GWR and the expansion method
    • Eds O Gervasi, M L Garrilova, V Kumar, A Lagana, H P Lee, Y Mun, D Taniar, C J K Tan (Springer, Berlin) pp
    • Páez A, 2005, "Local analysis of spatial relationships: a comparison of GWR and the expansion method", in Lecture Notes in Computer Science, Volume 3482 Eds O Gervasi, M L Garrilova, V Kumar, A Lagana, H P Lee, Y Mun, D Taniar, C J K Tan (Springer, Berlin) pp 162-172
    • (2005) Lecture Notes in Computer Science , vol.3482 , pp. 162-172
    • Páez, A.1
  • 32
    • 0036257201 scopus 로고    scopus 로고
    • A general framework for estimation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for locational heterogeneity
    • Páez A, Uchida T, Miyamoto K, 2002a, "A general framework for estimation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for locational heterogeneity" Environment and Planning A 34 733-754
    • (2002) Environment and Planning A , vol.34 , pp. 733-754
    • Páez, A.1    Uchida, T.2    Miyamoto, K.3
  • 33
    • 0036257023 scopus 로고    scopus 로고
    • A general framework for estimation and inference of geographically weighted regression models: 2. Spatial association and model specification tests
    • Páez A, Uchida T, Miyamoto K, 2002b, "A general framework for estimation and inference of geographically weighted regression models: 2. Spatial association and model specification tests" Environment and Planning A 34 883-904
    • (2002) Environment and Planning A , vol.34 , pp. 883-904
    • Páez, A.1    Uchida, T.2    Miyamoto, K.3
  • 34
    • 0003435447 scopus 로고
    • SAS Institute Inc, 6.03 Edition SAS Institute Inc, Cary, NC
    • SAS Institute Inc., 1988 SAS/IML, User's Guide, Release 6.03 Edition (SAS Institute Inc., Cary, NC)
    • (1988) SAS/IML, User's Guide, Release
  • 36
    • 22144438387 scopus 로고    scopus 로고
    • Application of a geographically-weighted regression analysis to estimate net primary production of Chinese forest ecosystems
    • Wang Q, Ni J, Tenhunen J, 2005, "Application of a geographically-weighted regression analysis to estimate net primary production of Chinese forest ecosystems" Global Ecology and Biogeography 14 379-393
    • (2005) Global Ecology and Biogeography , vol.14 , pp. 379-393
    • Wang, Q.1    Ni, J.2    Tenhunen, J.3
  • 37
    • 21244497275 scopus 로고    scopus 로고
    • Multicollinearity and correlation among local regression coefficients in geographically weighted regression
    • Wheeler D, Tiefelsdorf M, 2005, "Multicollinearity and correlation among local regression coefficients in geographically weighted regression" Journal of Geographical Systems 7 161-187
    • (2005) Journal of Geographical Systems , vol.7 , pp. 161-187
    • Wheeler, D.1    Tiefelsdorf, M.2
  • 38
    • 2642514130 scopus 로고    scopus 로고
    • Local modelling of tree growth by geographically weighted regression
    • Zhang L, Shi H, 2004, "Local modelling of tree growth by geographically weighted regression" Forest Science 50 225-244
    • (2004) Forest Science , vol.50 , pp. 225-244
    • Zhang, L.1    Shi, H.2
  • 39
    • 1242300158 scopus 로고    scopus 로고
    • Modeling spatial variation in tree diameter-height relationships
    • Zhang L, Bi H, Cheng P, Davis C J, 2004, "Modeling spatial variation in tree diameter-height relationships" Forest Ecology and Management 189 317-329
    • (2004) Forest Ecology and Management , vol.189 , pp. 317-329
    • Zhang, L.1    Bi, H.2    Cheng, P.3    Davis, C.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.