-
1
-
-
0000501656
-
Information Theory and an extension of the maximum likelihood principle
-
Petrov BN, Csaki F, Akademiai Kiado
-
Akaike H (1973) Information Theory and an extension of the maximum likelihood principle. In: Petrov BN, Csaki F (eds) 2nd Symposium on Information Theory, Budapest: Akademiai Kiado, pp. 267–281.
-
(1973)
2Nd Symposium on Information Theory, Budapest
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
0041530204
-
Space varying coefficient models for small area data
-
Assunção RM, (2003) Space varying coefficient models for small area data. Environmetrics 14: 453–473.
-
(2003)
Environmetrics
, vol.14
, pp. 453-473
-
-
Assunção, R.M.1
-
3
-
-
84919476299
-
Alleviating the effect of collinearity in geographically weighted regression
-
Barcena MJ, et al. (2014) Alleviating the effect of collinearity in geographically weighted regression. Journal of Geographical Systems 16(4): 441–466.
-
(2014)
Journal of Geographical Systems
, vol.16
, Issue.4
, pp. 441-466
-
-
Barcena, M.J.1
-
4
-
-
0003713797
-
-
Hoboken, New Jersey, John Wiley & Sons, Inc
-
Belsley D, Kuh E, Welsch R, (1980) Regression Diagnostics: Identifying Inuential Data and Sources of Collinearity, Hoboken, New Jersey: John Wiley & Sons, Inc.
-
(1980)
Regression Diagnostics: Identifying Inuential Data and Sources of Collinearity
-
-
Belsley, D.1
Kuh, E.2
Welsch, R.3
-
5
-
-
0001245944
-
An alternative method of cross-validation for the smoothing of density estimates
-
Bowman AW, (1984) An alternative method of cross-validation for the smoothing of density estimates. Biometrika 71(2): 353–360.
-
(1984)
Biometrika
, vol.71
, Issue.2
, pp. 353-360
-
-
Bowman, A.W.1
-
6
-
-
84975759884
-
Living with collinearity in local regression models
-
10th – 13th July, 2012, Florianœpolis, SC, Brazil, accessed 13 June 2018
-
Brunsdon C, Charlton M and Harris, P (2012) Living with collinearity in local regression models. In: Accuracy 2012 – 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 10th – 13th July, 2012, Florianœpolis, SC, Brazil. Available at http://www.spatial-accuracy.org/system/files/BrunsdonAccuracy2012.pdf (accessed 13 June 2018).
-
(2012)
Accuracy 2012 – 10Th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences
-
-
Brunsdon, C.1
Charlton, M.2
Harris, P.3
-
7
-
-
0000722130
-
Some notes on parametric significance tests for geographically weighted regression
-
Brunsdon C, Fotheringham AS, Charlton M, (1999) Some notes on parametric significance tests for geographically weighted regression. Journal of Regional Science 39(3): 497–524.
-
(1999)
Journal of Regional Science
, vol.39
, Issue.3
, pp. 497-524
-
-
Brunsdon, C.1
Fotheringham, A.S.2
Charlton, M.3
-
8
-
-
0030432956
-
Geographically weighted regression: A method for exploring spatial nonstationarity
-
Brunsdon C, Fotheringham AS, Charlton ME, (1996) Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis 28(4): 281–298.
-
(1996)
Geographical Analysis
, vol.28
, Issue.4
, pp. 281-298
-
-
Brunsdon, C.1
Fotheringham, A.S.2
Charlton, M.E.3
-
9
-
-
84982770928
-
Generating models by the expansion method: Applications to geographical research
-
Casetti E, (1972) Generating models by the expansion method: Applications to geographical research. Geographical Analysis 4(1): 81–91.
-
(1972)
Geographical Analysis
, vol.4
, Issue.1
, pp. 81-91
-
-
Casetti, E.1
-
10
-
-
28544436057
-
-
Maynooth, Co. Kildare, National Centre for Geocomputation, National University of Ireland Maynooth
-
Charlton M, Fotheringham A, Brunsdon C, (2003) GWR 3: Software for Geographically Weighted Regression, Maynooth, Co. Kildare: National Centre for Geocomputation, National University of Ireland Maynooth.
-
(2003)
GWR 3: Software for Geographically Weighted Regression
-
-
Charlton, M.1
Fotheringham, A.2
Brunsdon, C.3
-
11
-
-
84936916896
-
Robust locally weighted regression and smoothing scatterplots
-
Cleveland WS, (1979) Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74(368): 829–836.
-
(1979)
Journal of the American Statistical Association
, vol.74
, Issue.368
, pp. 829-836
-
-
Cleveland, W.S.1
-
12
-
-
84874725861
-
Collinearity: A review of methods to deal with it and a simulation study evaluating their performance
-
Dormann CF, et al. (2013) Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography 36(1): 27–46.
-
(2013)
Ecography
, vol.36
, Issue.1
, pp. 27-46
-
-
Dormann, C.F.1
-
13
-
-
85081711180
-
-
online, Available at, accessed 13 June 2018
-
ESRI (2009) ArcGIS 9.3: Interpreting GWR results [online]. Available at: http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=Interpreting_GWR_results (accessed 13 June 2018).
-
(2009)
Arcgis 9.3: Interpreting GWR Results
-
-
-
14
-
-
35748982456
-
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. Journal of Geographical Systems 9(4): 371–396.
-
(2007)
Journal of Geographical Systems
, vol.9
, Issue.4
, pp. 371-396
-
-
Farber, S.1
Páez, A.2
-
15
-
-
84856105430
-
Comparing spatially-varying coefficient models for analysis of ecological data with non-stationary and anisotropic residual dependence
-
Finley AO, (2011) Comparing spatially-varying coefficient models for analysis of ecological data with non-stationary and anisotropic residual dependence. Ecology and Evolution 2: 143–154.
-
(2011)
Ecology and Evolution
, vol.2
, pp. 143-154
-
-
Finley, A.O.1
-
18
-
-
84945465775
-
Geographical and temporal weighted regression (GTWR)
-
Fotheringham AS, Crespo R, Yao J, (2015) Geographical and temporal weighted regression (GTWR). Geographical Analysis 47(4): 431–452.
-
(2015)
Geographical Analysis
, vol.47
, Issue.4
, pp. 431-452
-
-
Fotheringham, A.S.1
Crespo, R.2
Yao, J.3
-
21
-
-
84922560278
-
GWmodel: An R package for exploring spatial heterogeneity using geographically weighted models
-
Gollini I, et al. (2015) GWmodel: An R package for exploring spatial heterogeneity using geographically weighted models. Journal of Statistical Software 63(17): 1–50.
-
(2015)
Journal of Statistical Software
, vol.63
, Issue.17
, pp. 1-50
-
-
Gollini, I.1
-
22
-
-
28444486932
-
The validity and usefulness of laws in geographic information science and geography
-
Goodchild MF, (2004) The validity and usefulness of laws in geographic information science and geography. Annals of the Association of American Geographers 94(2): 300–303.
-
(2004)
Annals of the Association of American Geographers
, vol.94
, Issue.2
, pp. 300-303
-
-
Goodchild, M.F.1
-
23
-
-
0003074252
-
Weighted spatial adaptive filtering: Monte Carlo studies and application to illicit drug market modeling
-
Gorr WL, Olligschlaeger AM, (1994) Weighted spatial adaptive filtering: Monte Carlo studies and application to illicit drug market modeling. Geographical Analysis 26(1): 67–87.
-
(1994)
Geographical Analysis
, vol.26
, Issue.1
, pp. 67-87
-
-
Gorr, W.L.1
Olligschlaeger, A.M.2
-
24
-
-
60649112018
-
Spatial-filtering-based contributions to a critique of geographically weighted regression (GWR)
-
Griffith DA, (2008) Spatial-filtering-based contributions to a critique of geographically weighted regression (GWR). Environment and Planning A 40(11): 2751–2769.
-
(2008)
Environment and Planning A
, vol.40
, Issue.11
, pp. 2751-2769
-
-
Griffith, D.A.1
-
25
-
-
78751617436
-
Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor
-
(, a
-
Harris P, Brunsdon C, Fotheringham AS, (2011a) Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor. Stochastic Environmental Research and Risk Assessment 25: 123–138.
-
(2011)
Stochastic Environmental Research and Risk Assessment
, vol.25
, pp. 123-138
-
-
Harris, P.1
Brunsdon, C.2
Fotheringham, A.S.3
-
26
-
-
77951287343
-
Robust geographically weighed regression: A technique for quantifying spatial relationships between freshwater acidification critical loads and catchment attributes
-
Harris P, Fotheringham AS, Juggins S, (2010) Robust geographically weighed regression: A technique for quantifying spatial relationships between freshwater acidification critical loads and catchment attributes. Annals of the Association of American Geographers 100(2): 286–306.
-
(2010)
Annals of the Association of American Geographers
, vol.100
, Issue.2
, pp. 286-306
-
-
Harris, P.1
Fotheringham, A.S.2
Juggins, S.3
-
27
-
-
84855748618
-
Geographically weighted principal components analysis
-
(, b
-
Harris P, Brunsdon C, Charlton M, (2011b) Geographically weighted principal components analysis. International Journal of Geographical Information Science 25(10): 1717–1736.
-
(2011)
International Journal of Geographical Information Science
, vol.25
, Issue.10
, pp. 1717-1736
-
-
Harris, P.1
Brunsdon, C.2
Charlton, M.3
-
28
-
-
0002161961
-
Application of ridge analysis to regression problems
-
Hoerl AE, (1962) Application of ridge analysis to regression problems. Chemical Engineering Progress 58(3): 54–59.
-
(1962)
Chemical Engineering Progress
, vol.58
, Issue.3
, pp. 54-59
-
-
Hoerl, A.E.1
-
29
-
-
84942484786
-
Ridge regression: Biased estimation for nonorthogonal problems
-
Hoerl AE, Kennard RW, (1970) Ridge regression: Biased estimation for nonorthogonal problems. Technometrics 12(1): 55–67.
-
(1970)
Technometrics
, vol.12
, Issue.1
, pp. 55-67
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
30
-
-
84894273575
-
Geographically weighted regression with a non-Euclidean distance metric: A case study using hedonic house price data
-
(, a
-
Lu B, et al. (2014a) Geographically weighted regression with a non-Euclidean distance metric: A case study using hedonic house price data. International Journal of Geographical Information Science 28(4): 660–681.
-
(2014)
International Journal of Geographical Information Science
, vol.28
, Issue.4
, pp. 660-681
-
-
Lu, B.1
-
31
-
-
84901651260
-
The GWmodel R package: Further topics for exploring spatial heterogeneity using geographically weighted models
-
(, b
-
Lu B, et al. (2014b) The GWmodel R package: Further topics for exploring spatial heterogeneity using geographically weighted models. Geo-Spatial Information Science 17(2): 85–101.
-
(2014)
Geo-Spatial Information Science
, vol.17
, Issue.2
, pp. 85-101
-
-
Lu, B.1
-
32
-
-
85008513895
-
Calibrating a geographically weighted regression model with parameter-specific distance metrics
-
Lu B, et al. (2015) Calibrating a geographically weighted regression model with parameter-specific distance metrics. Procedia Environmental Sciences 26: 109–114.
-
(2015)
Procedia Environmental Sciences
, vol.26
, pp. 109-114
-
-
Lu, B.1
-
33
-
-
84948075260
-
The Minkowski approach for choosing the distance metric in Geographically Weighted Regression
-
Lu B, et al. (2016) The Minkowski approach for choosing the distance metric in Geographically Weighted Regression. International Journal of Geographical Information Science 30(2): 351–368.
-
(2016)
International Journal of Geographical Information Science
, vol.30
, Issue.2
, pp. 351-368
-
-
Lu, B.1
-
34
-
-
84999635796
-
Geographically weighted regression with parameter-specific distance metrics
-
(, a
-
Lu B, et al. (2017a) Geographically weighted regression with parameter-specific distance metrics. International Journal of Geographical Information Science 31(5): 982–998.
-
(2017)
International Journal of Geographical Information Science
, vol.31
, Issue.5
, pp. 982-998
-
-
Lu, B.1
-
36
-
-
0036235658
-
Crucial problems in regression modelling and their solutions
-
Meloun M, et al. (2002) Crucial problems in regression modelling and their solutions. Analyst 127(4): 433–450.
-
(2002)
Analyst
, vol.127
, Issue.4
, pp. 433-450
-
-
Meloun, M.1
-
37
-
-
85008430247
-
A Moran coefficient-based mixed effects approach to investigate spatially varying relationships
-
Murakami D, Yoshida T, Seya H, et al. (2017) A Moran coefficient-based mixed effects approach to investigate spatially varying relationships. Spatial Statistics 19: 68–89.
-
(2017)
Spatial Statistics
, vol.19
, pp. 68-89
-
-
Murakami, D.1
Yoshida, T.2
Seya, H.3
-
38
-
-
24944468295
-
Geographically weighted Poisson regression for disease association mapping
-
and
-
Nakaya T, Fotheringham AS, Brunsdon C and Charlton M (2005) Geographically weighted Poisson regression for disease association mapping. Statistics in Medicine 24(17): 2695–2717.
-
(2005)
Statistics in Medicine
, vol.24
, Issue.17
, pp. 2695-2717
-
-
Nakaya, T.1
Fotheringham, A.S.2
Brunsdon, C.3
Charlton, M.4
-
39
-
-
0002499229
-
Developing GIS-relevant zone-based spatial analysis methods
-
Longley P., Batty M., (eds), New York, John Wiley and Sons, In:, (eds
-
Openshaw S, (1996) Developing GIS-relevant zone-based spatial analysis methods. In: Longley P, Batty M, (eds) Spatial Analysis: Modelling in a GIS Environment, New York: John Wiley and Sons, pp. 55–73.
-
(1996)
Spatial Analysis: Modelling in a GIS Environment
, pp. 55-73
-
-
Openshaw, S.1
-
40
-
-
10244255200
-
Anisotropic variance functions in geographically weighted regression models
-
Páez A, (2004) Anisotropic variance functions in geographically weighted regression models. Geographical Analysis 36(4): 299–314.
-
(2004)
Geographical Analysis
, vol.36
, Issue.4
, pp. 299-314
-
-
Páez, A.1
-
41
-
-
0036257201
-
A general framework for estimation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for locational heterogeneity
-
(, a
-
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(4): 733–754.
-
(2002)
Environment and Planning A
, vol.34
, Issue.4
, pp. 733-754
-
-
Páez, A.1
Uchida, T.2
Miyamoto, K.3
-
42
-
-
0036257023
-
A general framework for estimation and inference of geographically weighted regression models: 2. Spatial association and model specification tests
-
(, b
-
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(5): 883–904.
-
(2002)
Environment and Planning A
, vol.34
, Issue.5
, pp. 883-904
-
-
Páez, A.1
Uchida, T.2
Miyamoto, K.3
-
44
-
-
0000565591
-
A computer movie simulating urban growth in the detroit region
-
Tobler WR, (1970) A computer movie simulating urban growth in the detroit region. Economic Geography 46(2): 234–240.
-
(1970)
Economic Geography
, vol.46
, Issue.2
, pp. 234-240
-
-
Tobler, W.R.1
-
45
-
-
21244497275
-
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(2): 161–187.
-
(2005)
Journal of Geographical Systems
, vol.7
, Issue.2
, pp. 161-187
-
-
Wheeler, D.1
Tiefelsdorf, M.2
-
46
-
-
35648994302
-
Diagnostic tools and a remedial method for collinearity in geographically weighted regression
-
Wheeler DC, (2007) Diagnostic tools and a remedial method for collinearity in geographically weighted regression. Environment and Planning A 39(10): 2464–2481.
-
(2007)
Environment and Planning A
, vol.39
, Issue.10
, pp. 2464-2481
-
-
Wheeler, D.C.1
-
47
-
-
66249126303
-
Simultaneous coefficient penalization and model selection in geographically weighted regression: The geographically weighted lasso
-
Wheeler DC, (2009) Simultaneous coefficient penalization and model selection in geographically weighted regression: The geographically weighted lasso. Environment and Planning A 41(3): 722–742.
-
(2009)
Environment and Planning A
, vol.41
, Issue.3
, pp. 722-742
-
-
Wheeler, D.C.1
-
48
-
-
85103878007
-
Visualizing and diagnosing coefficients from geographically weighted regression models
-
Jiang B., Yao X., (eds), Netherlands, Springer, In:, (eds
-
Wheeler DC, (2010) Visualizing and diagnosing coefficients from geographically weighted regression models. In: Jiang B, Yao X, (eds) Geospatial Analysis and Modelling of Urban Structure and Dynamics, Netherlands: Springer, pp. 415–436.
-
(2010)
Geospatial Analysis and Modelling of Urban Structure and Dynamics
, pp. 415-436
-
-
Wheeler, D.C.1
-
49
-
-
84971229255
-
New algorithm for constructing area-based index with geographical heterogeneities and variable selection
-
accessed 13 June 2018
-
Yoneoka D, Saito E and Nakaoka S (2016) New algorithm for constructing area-based index with geographical heterogeneities and variable selection: An application to gastric cancer screening. Scientific Reports 6. Available at: www.ncbi.nlm.nih.gov/pmc/articles/PMC4877577/ (accessed 13 June 2018).
-
(2016)
Application to Gastric Cancer Screening. Scientific Reports
, pp. 6
-
-
Yoneoka, D.1
Saito, E.2
Nakaoka, S.3
|