Extending the automated zoning procedure to reconcile incompatible zoning systems

References

• ATKINS , D. , CHARLTON , C. , DORLING , D. and WYMER , C. 1993 . Connecting the 1981 and 1991 Censuses , Research Report 93/9 Newcastle-upon-Tyne : NE.RRL, University of Newcastle .
   Google Scholar
• BLOOM , L. M. , PEDLER , P. J. and WRAGG , G. E. 1996 . Implementation of enhanced areal interpolation using Maplnfo . Computers and Geosciences , 22 : 459 – 466 .
   Web of Science ®Google Scholar
• DUKE-WILLIAMS , O. and REES , P. 1998 . Can Census Offices publish statistics for more than one small area geography? An analysis of the differencing problem in statistical disclosure . International Journal of Geographical Information Science , 12 : 579 – 605 .
   PubMed Web of Science ®Google Scholar
• FISHER , P. F. 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
• FLOWERDEW , R. and GREEN , M. 1991 . “ Data integration: statistical methods for transferring data between zonal systems ” . In Handling Geographic Information: Methodology and Potential Applications , Edited by: Masser , I. and Blakemore , M. 38 – 54 . Harlow : Longman .
   Google Scholar
• FLOWERDEW , R. and GREEN , M. 1992 . Developments in areal interpolation methods and GIS . Annals of Regional Science , 26 : 67 – 78 .
   Web of Science ®Google Scholar
• GOODCHILD , M. F. , ANSELIN , L. and DEICHMANN , U. 1993 . A framework for the areal interpolation of socioeconomic data . Environment and Planning A , 25 : 383 – 397 .
   Web of Science ®Google Scholar
• HAINING , R. , WISE , S. and MA , J. 1998 . Exploratory spatial data analysis in a geographic information system environment . Journal of the Royal Statistical Society D , 47 : 457 – 469 .
   Google Scholar
• HAINING , R. , WISE , S. and MA , J. 2001 . Providing spatial statistical data analysis functionality for the GIS user the SAGE project . International Journal of Geographical Information Science , 15 : 239 – 254 .
   Web of Science ®Google Scholar
• HORN , M. E. T. 1995 . Solution techniques for large regional partitioning problems . Geographical Analysis , 27 : 230 – 248 .
   Web of Science ®Google Scholar
• LANGFORD , M. , MAGUIRE , D. J. and UNWIN , D. J. 1994 . “ The areal interpolation problem: estimating population using remote sensing in a GIS framework ” . In Handling Geographic Information: Methodology and Potential Applications , Edited by: Masser , I. and Blakemore , M. 55 – 77 . Harlow : Longman .
   Google Scholar
• MARTIN , D. 1997 . From enumeration districts to output areas: experiments in the automated creation of a census output geography . Population Trends , 88 : 36 – 42 .
   Google Scholar
• MARTIN , D. 1998 . Optimizing census geography: the separation of collection and output geographies . International Journal of Geographical Information Science , 12 : 673 – 685 .
   PubMed Web of Science ®Google Scholar
• MARTIN , D. , NOLAN , A. and TRANMER , M. 2001 . The application of zone design methodology in the 2001 UK census . Environment and Planning A , 33 : 1949 – 1962 .
   Web of Science ®Google Scholar
• MEHROTRA , A. , JOHNSON , E. L. and NEMHAUSER , G. L. 1998 . An optimization based heuristic for political districting . Management Science , 44 : 1100 – 1114 .
   Web of Science ®Google Scholar
• MORGAN , C. and DENHAM , C. 1982 . Census small area statistics (SAS): measuring change and spatial variation . Population Trends , 28 : 12 – 17 .
   Google Scholar
• MUGGLIN , A. S. , CARLIN , B. P. and ZHU , L. 1999 . Bayesian areal interpolation, estimation and smoothing: an inferential approach for geographic information systems . Environment and Planning A , 31 : 1337 – 1352 .
   Web of Science ®Google Scholar
• MUGGLIN , A. S. , CARLIN , B. P. and GELFAND , A. E. 2000 . Fully model-based approaches for spatially misaligned data . Journal of the American Statistical Association , 95 : 877 – 887 .
   Web of Science ®Google Scholar
• OPENSHAW , S. 1977 . A geographical solution to scale and aggregation problems in regionbuilding, partitioning and spatial modelling . Transactions of the Institute of British Geographers, NS , 2 : 459 – 472 .
   Web of Science ®Google Scholar
• OPENSHAW , S. 1984 . “ Concepts and Techniques in Modern Geography 38 ” . In The modifiable areal unit problem , Norwich : Geo Books .
   Google Scholar
• OPENSHAW , S. and ALVANIDES , S. 1999 . “ Applying geocomputation to the analysis of spatial distributions ” . In Geographical Information Systems: Principles, Techniques, Applications and Management , Edited by: Longley , P. A. , Goodchild , M. F. , Maguire , D. J. and Rhind , D. W. 267 – 282 . Chichester : Wiley .
   Google Scholar
• OPENSHAW , S. and RAO , L. 1995 . Algorithms for re-engineering 1991 Census geography . Environment and Planning A , 27 : 425 – 446 .
   PubMed Web of Science ®Google Scholar
• TRANMER , M. and STEEL , D. G. 1998 . Using census data to investigate the causes of the ecological fallacy . Environment and Planning A , 30 : 817 – 831 .
   PubMedGoogle Scholar