Using geographically weighted regression to solve the areal interpolation problem

References

• Civco, D., Arnold, C., and Hurd, J., 1998. Land use and land cover mapping for the Connecticut and New York portions of the Long Island Sound watershed [online]. http://www.ct.gov/dep/cwp/view.asp?A=2698&Q=323264 (http://www.ct.gov/dep/cwp/view.asp?A=2698&Q=323264) (Accessed: 12 December 2008 ).
   Google Scholar
• Dempster , A. , Laird , N. and Rubin , D. 1977 . Maximum likelihood from incomplete data via the EM algorithm . Journal of the Royal Statistical Society Series B , 39 : 1 – 38 .
   Google Scholar
• Eicher , C. and Brewer , C. 2001 . Dasymetric mapping and areal interpolation: implementation and evaluation . Cartography and Geographic Information Science , 28 : 125 – 138 .
   Google Scholar
• Fisher , P. and Langford , M. 1995 . Modelling the errors in areal interpolation between zonal systems by Monte Carlo simulation . Environment and Planning A , 27 : 211 – 224 .
   Web of Science ®Google Scholar
• Fisher , P. and Langford , M. 1996 . Modeling sensitivity to accuracy in classified imagery: a study of areal interpolation by dasymetric mapping . Professional Geographer , 48 ( 3 ) : 299 – 309 .
   Web of Science ®Google Scholar
• Flowerdew , R. and Green , M. 1989 . “ Statistical methods for transferring data between zonal systems ” . In The accuracy of spatial databases , Edited by: Goodchild , M. and Gopal , S. 239 – 247 . London : Taylor & Francis .
   Google Scholar
• Flowerdew , R. and Green , M. 1991 . “ Data integration: statistical methods for transferring data between zonal systems ” . In Handling geographical information , Edited by: Masser , I and Blakemore , M. 38 – 54 . London : Longman .
   Google Scholar
• Flowerdew , R. and Green , M . 1994 . “ Areal interpolation and types of data ” . In Spatial analysis and GIS , Edited by: Fotheringham , S. and Rogerson , P. 121 – 145 . London : Taylor & Francis .
   Google Scholar
• Fotheringham , A.S. , Brunsdon , C. and Charlton , M. 1992 . Geographically weighted regression: the analysis of spatially varying relationships , Chichester, , UK : John Wiley& Sons .
   Google Scholar
• Goodchild , M. and Lam , N. 1980 . Areal interpolation: variant of the traditional spatial problem . Geo-Processing , 1 : 297 – 312 .
   Google Scholar
• Gregory , I.N. 2002 . The accuracy of areal interpolation techniques: standardising 19th and 20th century census data to allow long-term comparisons . Computers, Environment and Urban Systems , 26 : 293 – 314 .
   Google Scholar
• Lam , N. 1983 . Spatial interpolation methods: a review . American Cartographer , 10 : 129 – 149 .
   Web of Science ®Google Scholar
• Langford , M. 2006 . Obtaining population estimates in non-census reporting zones: an evaluation of the 3-class dasymetric method . Computers, Environment and Urban Systems , 30 : 161 – 180 .
   Web of Science ®Google Scholar
• Langford , M. , Maguire , D. and Unwin , D. 1991 . “ The areal interpolation problem: estimating population using remote sensing in a GIS framework. In ” . In Handling geographical information , Edited by: Masser , I. and Blakemore , M. 55 – 77 . London : Longman .
   Google Scholar
• Mrozinski , R. and Cromley , R. 1999 . Singly- and doubly-constraied methods of areal interpolation for vector-based GIS . Transactions in GIS , 3 : 285 – 301 .
   Google Scholar
• Okabe , A. and Sadahiro , Y. 1997 . Variation in count data transferred from a set of irregular zones to a set of regular zones through the point-in-polygon method . International Journal of Geographical Information Science , 11 : 93 – 106 .
   Web of Science ®Google Scholar
• Openshaw , S. and Taylor , P.J. 1981 . “ The modifiable areal unit problem ” . In Quantitative geography: a British view , Edited by: Wrigley , N. and Bennett , R. 60 – 69 . London : Routledge .
   Google Scholar
• Rase , W. 2001 . Volume-preserving interpolation of a smooth surface from polygon-related data . Journal of Geographical Systems , 3 : 199 – 213 .
   Google Scholar
• Reibel , M. and Agrawal , A. 2007 . Areal interpolation of population counts using pre-classified land cover data . Population Research and Policy Review , 26 : 619 – 633 .
   Web of Science ®Google Scholar
• Tobler , W. 1979 . Smooth pycnophylatic interpolation of geographical regions . Journal of the American Statistical Association , 74 : 519 – 530 .
   PubMed Web of Science ®Google Scholar
• Wright , J. 1936 . A method of mapping densities of population . The Geographical Review , 26 : 103 – 110 .
   Google Scholar
• Wu , S. , Qiu , X. and Wang , L. 2005 . Population estimation methods in GIS and remote sensing: a review . GIScience & Remote Sensing , 42 : 80 – 96 .
   Google Scholar
• Xie , Y. 1995 . The overlaid network algorithms for areal interpolation problem . Computers, Environment and Urban Systems , 19 : 287 – 306 .
   Web of Science ®Google Scholar
• Yuan , Y. , Smith , R. and Limp , W. 1997 . Remodeling census population with spatial information from LandSat TM imagery . Computers, Environment and Urban Systems , 21 : 245 – 258 .
   Google Scholar