메뉴 건너뛰기




Volumn 42, Issue 6, 2010, Pages 657-680

Erratum to: The use of geographically weighted regression for spatial prediction: An evaluation of models using simulated data sets (Erratum to: Math Geosci (2010) 42: 657-680, 10.1007/s11004-010-9284-7);The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets

Author keywords

GWR; Kriging; Relationship heterogeneity; Relationship nonstationarity; Spatial interpolation

Indexed keywords

DATA SET; GEOSTATISTICS; HETEROGENEITY; INTERPOLATION; KRIGING; MULTIPLE REGRESSION; NUMERICAL MODEL; REGRESSION ANALYSIS; SPATIAL ANALYSIS;

EID: 77954860974     PISSN: 18748961     EISSN: 18748953     Source Type: Journal    
DOI: 10.1007/s11004-011-9323-z     Document Type: Erratum
Times cited : (167)

References (43)
  • 1
    • 84990378701 scopus 로고    scopus 로고
    • Geographical information science: Geocomputation and nonstationarity
    • Atkinson PM (2001) Geographical information science: geocomputation and nonstationarity. Prog Phys Geogr 25: 111-122.
    • (2001) Prog Phys Geogr , vol.25 , pp. 111-122
    • Atkinson, P.M.1
  • 2
    • 33947097410 scopus 로고    scopus 로고
    • Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method
    • Bitter C, Mulligan GF, Dall'erba S (2007) Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method. J Geogr Syst 9: 7-27.
    • (2007) J Geogr Syst , vol.9 , pp. 7-27
    • Bitter, C.1    Mulligan, G.F.2    Dall'Erba, S.3
  • 4
    • 0000545143 scopus 로고
    • Kriging nonstationary data
    • Cressie N (1986) Kriging nonstationary data. J Am Stat Assoc 81: 625-634.
    • (1986) J Am Stat Assoc , vol.81 , pp. 625-634
    • Cressie, N.1
  • 5
    • 0032771628 scopus 로고    scopus 로고
    • Direct assessment of local accuracy and precision
    • E. Y. Baafi and N. A. Scofield (Eds.), Dordrecht: Kluwer Academic
    • Deutsch CV (1997) Direct assessment of local accuracy and precision. In: Baafi EY, Scofield NA (eds) Geostatistics Wollongong '96. Kluwer Academic, Dordrecht, pp 115-125.
    • (1997) Geostatistics Wollongong '96 , pp. 115-125
    • Deutsch, C.V.1
  • 7
    • 35748982456 scopus 로고    scopus 로고
    • A systematic investigation of cross-validation in GWR model estimation: Empirical analysis and Monte Carlo simulations
    • Farber S, Páez A (2007) A systematic investigation of cross-validation in GWR model estimation: empirical analysis and Monte Carlo simulations. J Geogr Syst 9: 371-396.
    • (2007) J Geogr Syst , vol.9 , pp. 371-396
    • Farber, S.1    Páez, A.2
  • 9
    • 0018654832 scopus 로고
    • A conceptual deterministic analysis of the kriging technique in hydrology
    • Gambolati G, Volpi G (1979) A conceptual deterministic analysis of the kriging technique in hydrology. Water Resour Res 15: 625-629.
    • (1979) Water Resour Res , vol.15 , pp. 625-629
    • Gambolati, G.1    Volpi, G.2
  • 10
    • 33746496804 scopus 로고    scopus 로고
    • An empirical evaluation of spatial regression models
    • Gao X, Asami Y, Chung C (2006) An empirical evaluation of spatial regression models. Comput Geosci 32: 1040-1051.
    • (2006) Comput Geosci , vol.32 , pp. 1040-1051
    • Gao, X.1    Asami, Y.2    Chung, C.3
  • 11
  • 12
    • 13444251351 scopus 로고    scopus 로고
    • Nonstationary multivariate process modeling through spatially varying coregionalisation
    • Gelfand AE, Schmidt AM, Banerjee S, Sirmans CJ (2004) Nonstationary multivariate process modeling through spatially varying coregionalisation. Test 13: 266-312.
    • (2004) Test , vol.13 , pp. 266-312
    • Gelfand, A.E.1    Schmidt, A.M.2    Banerjee, S.3    Sirmans, C.J.4
  • 13
    • 77954863728 scopus 로고    scopus 로고
    • Analysis of rainfall data by robust spatial statistics using S+SPATIALSTATS
    • Genton MC, Furrer R (1998) Analysis of rainfall data by robust spatial statistics using S+SPATIALSTATS. J Geogr Inf Decis Anal 2: 126-136.
    • (1998) J Geogr Inf Decis Anal , vol.2 , pp. 126-136
    • Genton, M.C.1    Furrer, R.2
  • 14
    • 0034881809 scopus 로고    scopus 로고
    • Geostatistical modelling of uncertainty in soil science
    • Goovaerts P (2001) Geostatistical modelling of uncertainty in soil science. Geoderma 103: 3-26.
    • (2001) Geoderma , vol.103 , pp. 3-26
    • Goovaerts, P.1
  • 15
    • 7344234819 scopus 로고
    • Lognormal and moving window methods of estimating acid deposition
    • Haas TC (1990) Lognormal and moving window methods of estimating acid deposition. J Am Stat Assoc 85: 950-963.
    • (1990) J Am Stat Assoc , vol.85 , pp. 950-963
    • Haas, T.C.1
  • 16
    • 0029668953 scopus 로고    scopus 로고
    • Multivariate spatial prediction in the presence of non-linear trend and covariance non-stationarity
    • Haas TC (1996) Multivariate spatial prediction in the presence of non-linear trend and covariance non-stationarity. Environmetrics 7: 145-165.
    • (1996) Environmetrics , vol.7 , pp. 145-165
    • Haas, T.C.1
  • 17
    • 34848884281 scopus 로고    scopus 로고
    • About regression kriging: From equations to case studies
    • Hengl T, Heuvelink GBM, Rossiter DG (2007) About regression kriging: from equations to case studies. Comput Geosci 33: 1301-1315.
    • (2007) Comput Geosci , vol.33 , pp. 1301-1315
    • Hengl, T.1    Heuvelink, G.B.M.2    Rossiter, D.G.3
  • 20
    • 0002126287 scopus 로고
    • Geostatistics: Models and tools for the earth sciences
    • Journel AG (1986) Geostatistics: models and tools for the earth sciences. Math Geol 18: 119-140.
    • (1986) Math Geol , vol.18 , pp. 119-140
    • Journel, A.G.1
  • 24
    • 0030424726 scopus 로고    scopus 로고
    • Geostatistical interpolation of chemical concentration
    • Kitanidis PK, Shen KF (1996) Geostatistical interpolation of chemical concentration. Adv Water Resour 19: 369-378.
    • (1996) Adv Water Resour , vol.19 , pp. 369-378
    • Kitanidis, P.K.1    Shen, K.F.2
  • 25
    • 0034094265 scopus 로고    scopus 로고
    • Statistical tests for spatial nonstationarity based on the geographically weighted regression model
    • Leung Y, Mei C, Zhang W (2000) Statistical tests for spatial nonstationarity based on the geographically weighted regression model. Environ Plann 32: 9-32.
    • (2000) Environ Plann , vol.32 , pp. 9-32
    • Leung, Y.1    Mei, C.2    Zhang, W.3
  • 26
    • 76849091165 scopus 로고    scopus 로고
    • Nonstationary models for exploring and mapping monthly precipitation in the United Kingdom
    • Lloyd CD (2010) Nonstationary models for exploring and mapping monthly precipitation in the United Kingdom. Int J Climatol 30: 390-405.
    • (2010) Int J Climatol , vol.30 , pp. 390-405
    • Lloyd, C.D.1
  • 27
    • 84865486245 scopus 로고
    • Principles of geostatistics
    • Matheron G (1963) Principles of geostatistics. Econ Geol 58: 1246-1266.
    • (1963) Econ Geol , vol.58 , pp. 1246-1266
    • Matheron, G.1
  • 30
    • 0001187715 scopus 로고
    • Analysis of nonintrinsic spatial variability by residual kriging with application to regional groundwater levels
    • Neuman SP, Jacobson EA (1984) Analysis of nonintrinsic spatial variability by residual kriging with application to regional groundwater levels. Math Geol 16: 499-521.
    • (1984) Math Geol , vol.16 , pp. 499-521
    • Neuman, S.P.1    Jacobson, E.A.2
  • 31
    • 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 (2002) A general framework for estimation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for locational heterogeneity. Environ Plann 34: 733-754.
    • (2002) Environ Plann , vol.34 , pp. 733-754
    • Páez, A.1    Uchida, T.2    Miyamoto, K.3
  • 32
    • 45149127477 scopus 로고    scopus 로고
    • Moving window approaches for hedonic price estimation: An empirical comparison of modelling techniques
    • Páez A, Long F, Farber S (2008) Moving window approaches for hedonic price estimation: an empirical comparison of modelling techniques. Urban Stud 45: 1565-1581.
    • (2008) Urban Stud , vol.45 , pp. 1565-1581
    • Páez, A.1    Long, F.2    Farber, S.3
  • 33
    • 0031683983 scopus 로고    scopus 로고
    • The second-order stationary universal kriging model revisited
    • Pardo-Igúzquiza E, Dowd PA (1998) The second-order stationary universal kriging model revisited. Math Geol 30: 347-378.
    • (1998) Math Geol , vol.30 , pp. 347-378
    • Pardo-Igúzquiza, E.1    Dowd, P.A.2
  • 34
    • 78751611916 scopus 로고    scopus 로고
    • Characterization of forest resources with satellite spot images by using local models of co-regionalization
    • W. J. Kleingeld and D. G. Krige (Eds.), Cape Town: Geostatistical Association of Southern Africa
    • Pereira MJ, Soares A, Rosario L (2002) Characterization of forest resources with satellite spot images by using local models of co-regionalization. In: Kleingeld WJ, Krige DG (eds) Geostatistics 2000. Geostatistical Association of Southern Africa, Cape Town.
    • (2002) Geostatistics 2000
    • Pereira, M.J.1    Soares, A.2    Rosario, L.3
  • 35
    • 3342875270 scopus 로고    scopus 로고
    • On the structural link between variables in kriging with external drift
    • Rivoirard J (2002) On the structural link between variables in kriging with external drift. Math Geol 34: 797-808.
    • (2002) Math Geol , vol.34 , pp. 797-808
    • Rivoirard, J.1
  • 37
    • 43349090561 scopus 로고    scopus 로고
    • Local linear estimation of spatially varying coefficient models: An improvement on the geographically weighted regression technique
    • Wang N, Mei C, Yan X (2008) Local linear estimation of spatially varying coefficient models: an improvement on the geographically weighted regression technique. Environ Plann 40: 986-1005.
    • (2008) Environ Plann , vol.40 , pp. 986-1005
    • Wang, N.1    Mei, C.2    Yan, X.3
  • 38
    • 35648994302 scopus 로고    scopus 로고
    • Diagnostic tools and a remedial method for collinearity in geographically weighted regression
    • Wheeler D (2007) Diagnostic tools and a remedial method for collinearity in geographically weighted regression. Environ Plann 39: 2464-2481.
    • (2007) Environ Plann , vol.39 , pp. 2464-2481
    • Wheeler, D.1
  • 39
    • 66249126303 scopus 로고    scopus 로고
    • Simultaneous coefficient penalization and model selection in geographically weighted regression: The geographically weighted lasso
    • Wheeler D (2009) Simultaneous coefficient penalization and model selection in geographically weighted regression: the geographically weighted lasso. Environ Plann 41(3): 722-742.
    • (2009) Environ Plann , vol.41 , Issue.3 , pp. 722-742
    • Wheeler, D.1
  • 40
    • 0034094938 scopus 로고    scopus 로고
    • An alternative measure of the reliability of ordinary kriging estimates
    • Yamamoto JK (2000) An alternative measure of the reliability of ordinary kriging estimates. Math Geol 32: 489-509.
    • (2000) Math Geol , vol.32 , pp. 489-509
    • Yamamoto, J.K.1
  • 41
    • 0001047565 scopus 로고
    • On the weighted least-squares method for fitting a semivariogram model
    • Zhang X, Eijkeren JC, Heemink AW (1995) On the weighted least-squares method for fitting a semivariogram model. Comput Geosci 21: 605-608.
    • (1995) Comput Geosci , vol.21 , pp. 605-608
    • Zhang, X.1    Eijkeren, J.C.2    Heemink, A.W.3
  • 42
    • 21344459257 scopus 로고    scopus 로고
    • Spatial residual analysis of six modeling techniques
    • Zhang L, Gove JH, Heath LS (2005) Spatial residual analysis of six modeling techniques. Ecol Model 186: 154-177.
    • (2005) Ecol Model , vol.186 , pp. 154-177
    • Zhang, L.1    Gove, J.H.2    Heath, L.S.3
  • 43
    • 0032985338 scopus 로고    scopus 로고
    • An experimental comparison of ordinary and universal kriging and inverse distance weighting
    • Zimmerman DL, Pavik C, Ruggles A, Armstrong MP (1999) An experimental comparison of ordinary and universal kriging and inverse distance weighting. Math Geol 31: 375-390.
    • (1999) Math Geol , vol.31 , pp. 375-390
    • Zimmerman, D.L.1    Pavik, C.2    Ruggles, A.3    Armstrong, M.P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.