An approach to linking remotely sensed data and areal census data

References

• Anderson , J. R. , Hardy , E. , Roach , J. and Witmer , R. 1976 . A land use and land cover classifcation system for use with remote sensor data , Geological survey professional paper 964 Washington : U.S. Government Printing OYce .
   Google Scholar
• Australian Bureau of Statistics (ABS) . 1993 . CDATA91 Data Guide: 1991 Census of Population and Housing , Canberra , , Australia : Australian Bureau of Statistics .
   Google Scholar
• Barnsley , M. J. , Barr , S. L. , Hamid , A. , Muller , J. P. , Sadler , G. J. and Shepherd , J. W. 1993 . “ Analytical tools to monitor urban areas ” . In Geographical Information Handling: Research and Applications , Edited by: Mather , P. M. 147 – 184 . Chichester : John Wiley .
   Google Scholar
• Chen , K. 2000 . An integrated approach to natural hazards risk assessment , Australia : Macquarie University . PhD thesis
   Google Scholar
• Eastman , R. 1997 . IDRISI for W indows User's Guide, Version 2.0 , Worcester , MA : Graduate School of Geography, Clark University .
   Google Scholar
• Flowerdew , R. and Green , M. 1992 . “ Statistical methods for inference between incompatible zones systems ” . In The Accuracy of Spatial Databases , Edited by: Goodchild , M. F. and Gopal , S. 239 – 247 . London : Taylor and Francis .
   Google Scholar
• Forster , B. 1983 . Some urban measurement from Landsat data . Photogrammetric Engineering and Remote Sensing , 49 : 1693 – 1707 .
   Web of Science ®Google Scholar
• Forster , B. 1993 . CoeYcient of variation as a measure of urban spatial attributes, using SPOT HRV and Landsat TM data . International Journal of Remote Sensing , 14 : 2403 – 2409 .
   Web of Science ®Google Scholar
• Franklin , S. E. and Peddle , D. R. 1990 . Classifcation of SPOT HRV imagery and textural features . International Journal of Remote Sensing , 11 : 551 – 556 .
   Web of Science ®Google Scholar
• Goodchild , M. F. , Anselin , L. and Deichmann , U. 1993 . A framework for the areal interpolation of socioeconomic data . Environmental Planning A , 25 : 383 – 397 .
   Web of Science ®Google Scholar
• Haack , B. , Bryant , N. and Adams , S. 1987 . Assessment of Landsat MSS data for urban and near-urban land cover digital classifcation . Remote Sensing of Environment , 21 : 201 – 213 .
   Web of Science ®Google Scholar
• Haralick , R. M. , Shanmugam , K. and Dinstein , I. 1973 . Texture features for image classifcation . IEEE Transactions on Systems, Man, and Cybernetics , 3 : 610 – 621 .
   Web of Science ®Google Scholar
• Hornsby Shire Council . 1992 . Hornsby Council L and Information System--Cadastral Information , Sydney , , Australia : Hornsby Council Central Library .
   Google Scholar
• Hutchinson , C. F. 1982 . Techniques for combining Landsat and ancillary data for digital classifcation improvement . Photogrammetric Engineering and Remote Sensing , 48 : 123 – 130 .
   Web of Science ®Google Scholar
• Jensen , J. R. 1979 . Spectral and textural features to classify elusive land cover at the urban fringe . Professional Geographer , 31 : 400 – 409 .
   Web of Science ®Google Scholar
• Langford , M. and Unwin , D. J. 1994 . Generating and mapping population density surfaces within a geographical information system . The Cartographic Journal , 31 : 21 – 26 .
   PubMed Web of Science ®Google Scholar
• Langford , M. , Maguire , D. J. and Unwin , D. J. 1991 . “ The areal interpolation problem: estimating population using remote sensing in a GIS framework ” . In Handling Geographical Information: Methodology and Applications , Edited by: Masser , I. and Blakemore , M. 55 – 77 . London : Longman .
   Google Scholar
• Lo , C. P. 1995 . Automated population and dwelling unit estimation from high-resolution satellite images: a GIS approach . International Journal of Remote Sensing , 16 : 17 – 34 .
   Web of Science ®Google Scholar
• Lo , C. P. and Faber , B. J. 1997 . Integration of Landsat Thematic Mapper and census data for quality of life assessment . Remote Sensing of Environment , 62 : 143 – 157 .
   Web of Science ®Google Scholar
• Martin , D. 1989 . Mapping population data from zone centroid locations . Transactions of the Institute of British Geographers , 14 : 90 – 97 .
   PubMed Web of Science ®Google Scholar
• Mesev , V. 1998 . The use of census data in urban image classifcation . Photogrammetric Engineering and Remote Sensing , 64 : 431 – 438 .
   Web of Science ®Google Scholar
• Openshaw , S. and Rao , L. 1995 . Algorithms for re-engineering 1991 census geography . Environmental and Planning, A , 27 : 425 – 446 .
   PubMed Web of Science ®Google Scholar
• Parker , J. R. 1997 . Algorithms for Image Processing and Computer Vision , New York : John Wiley & Sons .
   Google Scholar
• Quarmby , N. A. and Cushnie , J. L. 1989 . Monitoring urban land cover changes at the urban fringe from SPOT HRV imagery in south-east England . International Journal of Remote Sensing , 10 : 953 – 963 .
   Web of Science ®Google Scholar
• Sadler , G. J. and Barnsley , M. J. 1990 . Use of population density to improve classifcation accuracy in remotely sensed images of urban areas. Proceedings of EGIS ’90 , 968 – 977 . Amsterdam : EGIS Foundation .
   Google Scholar
• Walker , P. A. and Mallawaarachchi , T. 1998 . Dis-aggregating agricultural statistics using NOAA-AVHRR NDVI . Remote Sensing of Environment , 63 : 112 – 125 .
   Web of Science ®Google Scholar
• Webster , C. J. 1996 . Urban morphology ? ngerprints . Environment and Planning, B , 23 : 279 – 297 .
   Web of Science ®Google Scholar
• Wrigley , N. , Holt , T. , Steel , D. and Tranmer , M. 1997 . “ Analysing, modelling, and resolving the ecological fallacy ” . In Spatial Analysis: Modelling in a GIS Environment , Edited by: Longley , P. and Batty , M. London : GeoInformation International .
   Google Scholar