Building an Integrated Cadastral Fabric for Higher Resolution Socioeconomic Spatial Data Analysis

  • Nadine Schuurman
  • Agnieszka Leszczynski
  • Rob Fiedler
  • Darrin Grund
  • Nathaniel Bell


British Columbia Dissemination Area Ecological Fallacy Dwelling Type Census Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Abel DJ, Ooi BC, Tan K-L, Tan SH (1998) Towards integrated geographical information processing. IJGIS 12:353–371CrossRefGoogle Scholar
  2. 2.
    Alvanides S, Openshaw S (1999) Zone Design for Planning and Policy Analysis. In: Stillwell J, Geertman S, Openshaw S (eds) Geographical Information and Planning: European Perspectives. Springer-Verlag, New York, pp 299–315Google Scholar
  3. 3.
    Alvanides S, Openshaw S, Rees P (2001) Designing your own geographies. In: Rees P, Martin D, Williamson P (eds) The Census Data System. John Wiley & Sons, ChicesterGoogle Scholar
  4. 4.
    Bailey TC, Gatrell AG (1995) Interactive spatial data analysis. John Wiley & Sons, New YorkGoogle Scholar
  5. 5.
    Ballantyne B (1997) The research agenda for cadastral surveying: against sectarian struggles. Geomatica 51:427–436Google Scholar
  6. 6.
    Bittner T, Edwards G (2001) Towards an Ontology for Geomatics. Geomatica 55:475–490Google Scholar
  7. 7.
    Bishr Y (1996) Overcoming the semantic and other barriers to GIS interoperability. IJGIS 12:538–543Google Scholar
  8. 8.
    Bracken I, Martin D (1989) The generation of spatial population distributions from census centroid data. Env Plan A 21:538–543Google Scholar
  9. 9.
    Bramley G, Smart G (1995) Modelling Local Income Distributions in Britain. Reg Stud 23:239–255Google Scholar
  10. 10.
    Campari I (1996) Uncertain Boundaries in Urban Space. In: Burrough PA, Frank A (eds) Geographic objects with indeterminate boundaries. Taylor and Francis, London, pp 57–69Google Scholar
  11. 11.
    Crampton JW (2004) GIS and Geographic Governance: Reconstructing the Choropleth Map. Cartographica 39:41–53Google Scholar
  12. 12.
    Devogele T, Parent C, Spaccapietra S (1998) On spatial database integration. IJGIS 12:335–352CrossRefGoogle Scholar
  13. 13.
    Eicher CL, Brewer CA (2001) Dasymetric Mapping and Areal Interpolation: Interpretation and Evaluation. CAGIS 28:125–138Google Scholar
  14. 14.
    Fabricant SI, Buttenfield B (2001) Formalizing Semantic Spaces for Information Access. Ann Amer Assoc Geog 91:263–280CrossRefGoogle Scholar
  15. 15.
    Fielder R, Schuurman N, Hyndman J (Forthcoming) Improving Census-based Socioeconomic GIS for Public Policy: Recent Immigrants, Spatially Concentrated Poverty and Housing Need in Vancouver. ACMEGoogle Scholar
  16. 16.
    Fieldhouse EA, Tye R (1996) Deprived people or deprived places? Exploring the ecological fallacy in studies of deprivation with the Samples of Anonymised Records. Env Plan A 28:237–259Google Scholar
  17. 17.
    Fonseca FT, Egenhofer MJ, Agouris P, Camara G (2002) Using ontologies for Integrated Information Systems. TGIS 6:231–257Google Scholar
  18. 18.
    Fonseca FT, Egenhofer MJ, Davis CA Jr., Borges KAV (2000) Ontologies and knowledge sharing in urban GIS. Compt Env Urb Sys 24:251–272CrossRefGoogle Scholar
  19. 19.
    Frohlich N, Mustard C (1996) A regional comparison of socioeconomic and health indices in a Canadian province. Soc Sci Med 42:1273–1281CrossRefGoogle Scholar
  20. 20.
    Grimm N, Grove J, Pickett S, Redman C (2000) Integrated approaches to long-term studies of urban ecological systems. BioScience 50:585–671CrossRefGoogle Scholar
  21. 21.
    Harris R, Frost M (2003) Indicators of urban deprivation for policy analysis GIS: going beyond wards. In: Kidner D, Higgs G, White S (eds) Socioeconomic Applications of Geographic Information Science, Innovations in GIS-cience 9. Taylor and Francis, New York, pp 231–242Google Scholar
  22. 22.
    Harris R, Longley P (2003) Targeting Clusters of Deprivation within Cities. In: Stillwell J, Clarke G (eds) Applied GIS and Spatial Analysis. John Wiley & Sons, Chichester, pp 89–110Google Scholar
  23. 23.
    Harvey F (1999) Designing for interoperability: Overcoming semantic differences. In: Egenhofer MJ, Fegeas R, Kottman CA (eds) Interoperating Geographic Information Systems. Kluwer Academic Publishing, Boston, pp 58–98Google Scholar
  24. 24.
    Harvey F, Buttenfield BP, Lambert SC (1999) Integrating geodata infrastructures from the ground up. Phot Eng Rem Sens 65:1287–1292Google Scholar
  25. 25.
    Hentschel J, Lanjouw JO, Lanjouw P, Poggy J (2000) Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case of Ecuador. World Bank Econ Rev 14:147–165Google Scholar
  26. 26.
    Holloway SR, Schumacher J, Redmond RL (1999) People and Place: Dasymetric Mapping Using ARC/INFO In: Morain S (ed) GIS Solutions in Natural Resource Management: Balancing the Technical-Political Equation. OnWord Press, Santa Fe, pp 283–291Google Scholar
  27. 27.
    Jarman B (1983) Identification of underprivileged areas. BMJ 286:1705–1708CrossRefGoogle Scholar
  28. 28.
    Kashyap V, Sheth AP (1996) Semantic and schematic similarities between database objects: a context-based approach. VLDB J 5:276–304CrossRefGoogle Scholar
  29. 29.
    Kirby A (1981) Geographic contributions to the inner city deprivation debate: a critical assessment. Area 13:177–181Google Scholar
  30. 30.
    Kuhn W (2001) Ontologies in support of activities in geographical space. IJGIS 15:613–631CrossRefGoogle Scholar
  31. 31.
    Lane SN (2001) Constructive comments on D. Massey’ space-time,’’ science’ and the relationship between physical geography and human geography. Trans Inst Brit Geog 26:243–256CrossRefGoogle Scholar
  32. 32.
    Langford M, Unwin DJ (1994) Generating and mapping population density surfaces within a geographical information system. The Cart J 31:21–26Google Scholar
  33. 33.
    Laporte A (2002) A note on the use of a single inequality index in testing the effect of income distribution on morality. Soc Sci Med 55:1561–1570CrossRefGoogle Scholar
  34. 34.
    Laurini R (1998) Spatial multi-database topological continuity and indexing: a step towards seamless GIS data interoperability. IJGIS 12:373–402CrossRefGoogle Scholar
  35. 35.
    Ley D, Tutchener J, Cunningham G (2002) Immigration, Polarization, or Gentrification? Accounting for Changing Housing Prices and Dwelling Values in Gateway Cities. Urb Geog 23:703–727Google Scholar
  36. 36.
    Longley P (2003) Geographical Information Systems: developments in socioeconomic data infrastructures. Prog Hum Geog 27:114–121CrossRefGoogle Scholar
  37. 37.
    Longely PA, Harris RJ (1999) Towards a new digital data infrastructure for urban analysis and modeling. Env Plan B 26:855–878Google Scholar
  38. 38.
    Martin D (1989) Mapping population data from zone centroid locations. Trans Inst Brit Geog 14:90–97CrossRefGoogle Scholar
  39. 39.
    Martin D (1998) Automatic Neighbourhood Identification from Population Surfaces. Compt Env Urb Sys 22:107–120CrossRefGoogle Scholar
  40. 40.
    Massey D (1999) Space-time,’ science’ and the relationship between human geography and human geography. Trans Inst Brit Geog 24:261–276CrossRefGoogle Scholar
  41. 41.
    Mennis J (2003) Generating Surface Models of Population Using Dasymetric Mapping. Prof Geog 55:31–42Google Scholar
  42. 42.
    Mesev V (1998) The Use of Census Data in Urban Image Analysis. Phot Eng Rem Sens 64:431–438Google Scholar
  43. 43.
    Minot N (2000) Generating Disaggregated Poverty Maps: An Application to Vietnam. World Devl 28:319–331CrossRefGoogle Scholar
  44. 44.
    Openshaw (1983) The Modifiable Area Unit Problem, Concepts and Techniques. In: Modern Geography 38. Norwich, Geobooks.Google Scholar
  45. 45.
    Openshaw (1984a) Ecological fallacies and the analysis of areal census data. Env Plan A 16:17–31Google Scholar
  46. 46.
    O’Sullivan D (2004) Too Much of the Wrong Kind of Data: Implications for the Practice of Micro-Scale Spatial Modeling. In: Goodchild MF, Janelle DG (eds) Spatially Integrated Social Science. Oxford University Press, New York, pp 95–107Google Scholar
  47. 47.
    Pampalon R, Raymond G (2000) A Deprivation Index for Health and Welfare Planning in Quebec. Chron Dis Can 21:104–113Google Scholar
  48. 48.
    Pundt H (2002) Field Data Collection with Mobile GIS: Dependences Between Semantics and Data Quality. GeoInformatica 6:363–380CrossRefGoogle Scholar
  49. 49.
    Raper J (2001) Defining Spatial Socio-Economic Units: Retrospective and Prospective. In: Fran A, Raper J, Chelan J-P (eds) Life and Motion of Socioeconomic Units. Taylor and Francis, New York, pp 13–20Google Scholar
  50. 50.
    Raubal M (2001) Ontology and epistemology for agent-based wayfinding simulation. IJGIS 15:653–655CrossRefGoogle Scholar
  51. 51.
    Rees P, Martin D (2002) The debate about census geography. In: Rees P, Martin D, Williamson P (eds) The Census Data System. John Wiley & Sons, Chichester, pp 27–36Google Scholar
  52. 52.
    Rodriguez AM, Egenhofer MJ (2003) Determining semantic similarity among entity classes from different ontologies. IEEE Trans Knowl Data Eng 15: 442–456CrossRefGoogle Scholar
  53. 53.
    Schuurman N (2002) Reconciling Social Constructivism and Realism in GIS. ACME 1:75–90Google Scholar
  54. 54.
    Schuurman N, Leszczynski A (Forthcoming) Ontology-based metadata. TGIS.Google Scholar
  55. 55.
    Sheth AP (1999) Changing Focus on Interoperability in Geographic Information Systems: From system, syntax, structure to semantics. In: Goodchild MF, Egenhofer MJ, Fegeas R, Kottman C (eds) Interoperating Geographic Information Systems. Kluwer Academic Publishers, Boston, pp 5–30Google Scholar
  56. 56.
    Smith HA (2004) The Evolving Relationship between Immigrant Settlement and Neighborhood Disadvantage in Canadian Cities, 1991–2001. RIIM, Vancouver. URL: Scholar
  57. 57.
    Stock K, Pullar D (1999) Identifying Semantically Similar Elements in Heterogeneous Spatial Databases Using Predicate Logic Expressions. In: Vckovski A, Brassel KE, Schek H-J (eds) Second Int Conf on Interoperating Geographic Information Systems (INTEROP’99), LNCS 1580. Springer-Verlag, Zurich, pp 231–252Google Scholar
  58. 58.
    Tate N (2000) Surfaces for GIScience. TGIS 4:301–303Google Scholar
  59. 59.
    Thurstain-Goodwin M, Unwin DJ (2000) Defining and Delineating the Central Areas of Towns for Statistical Monitoring Using Continuous Surface Representations. TGIS 4:305–317Google Scholar
  60. 60.
    Townsend P, Phillimore P, Beattie A (1988) Health and Deprivation. Croom Helm, London.Google Scholar
  61. 61.
    Vckovski A, Brassel KE, Schek H-J (eds) (1999) Interoperating Geographic Information Systems (= LNCS 1580). Springer-Verlag, ZurichGoogle Scholar
  62. 62.
    Wilkinson RG (1992) Income distribution and life expectancy. BMJ 304: 165–168CrossRefGoogle Scholar
  63. 63.
    Wilkinson RG (1996) Unhealthy Societies: The Afflictions of Inequality. Routledge, New York.Google Scholar
  64. 64.
    Wilkinson RG (1999) Putting the picture together: prosperity, redistribution, health and welfare. In: Marmot M, Wilkinson RG, Social Determinants of Health. Oxford University Press, New York, pp 256–274Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nadine Schuurman
    • 1
  • Agnieszka Leszczynski
    • 1
  • Rob Fiedler
    • 1
  • Darrin Grund
    • 1
  • Nathaniel Bell
    • 1
  1. 1.Department of GeographySimon Fraser UniversityBurnabyCanada

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