Error-sensitive historical GIS: Identifying areal interpolation errors in time-series data

International Journal of Geographical Information Science

Volumn 20, Issue 2, 2006, Pages 135-152

  Gregory, Ian N ^a   Ell, Paul S ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Areal interpolation; Census; Error; Historical GIS; Time series

Indexed keywords

GIS; INTERPOLATION;

EID: 31744436970     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658810500399589     Document Type: Article

References (32)

1. Bol, P. and Ge, J. (2005) China Historical GIS. Historical Geography, 33, pp. 150-152.
2. Bracken, I. and Martin, D. (1995) Linkage of the 1981 and 1991 UK census using surface modeling concepts. Environment and Planning A, 27, pp. 379-390.
3. Cockings, S. and Fisher, P. F. and Langford, M. (1997) Parameterization and visualisation of the errors in areal interpolation. Geographical Analysis, 29, pp. 314-328.
4. De Moor, M. and Wiedemann, T. (2001) Reconstructing Belgian territorial units and hierarchies: An example from Belgium. History and Computing, 13, pp. 71-97.
5. Dempster, A. and Laird, N. and Rubin, D. (1977) Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39, pp. 1-38.
6. Ell, P. S. (2005) Towards a comprehensive GIS for Ireland. Historical Geography, 33, pp. 138-140.
7. Ell, P. S. and Gregory, I. N. (2001) Adding a new dimension to historical research with GIS. History and Computing, 13, pp. 1-6.
8. 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, pp. 211-224.
9. Flowerdew R. and Green M. 1994 Areal interpolation and types of data. In Spatial Analysis and GIS. (pp. 121-145). London: Taylor & Francis.
10. Fotheringham, A. S. (1997) Trends in quantitative methods I: Stressing the local. Progress in Human Geography, 21, pp. 88-96.
11. Goodchild, M. F. and Lam, N. S.-N. (1980) Areal interpolation: A variant of the traditional spatial problem. Geo-Processing, 1, pp. 297-312.
12. Goodchild, M. F. and Anselin, L. and Deichmann, U. (1993) A framework for the areal interpolation of socio-economic data. Environment & Planning A, 25, pp. 383-397.
13. Gregory, I. N. (2002a) Time variant databases of changing historical administrative boundaries: A European comparison. Transactions in GIS, 6, pp. 161-178.
14. Gregory, I. N. (2002b) 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
15. Gregory, I. N. (2005) The Great Britain Historical GIS. Historical Geography, 33, pp. 136-138.
16. Gregory, I. N. and Bennett, C. and Gilham, V. L. and Southall, H. R. (2002) The Great Britain Historical GIS Project: From maps to changing human geography. Cartographic Journal, 39, pp. 37-49.
17. Gregory, I. N. and Ell, P. S. (2005) Breaking the boundaries: Integrating 200 years of the Census using GIS. Journal of the Royal Statistical Society, Series A, 168, pp. 419-437.
18. Knowles, A. K., (Ed.). (2005a) Reports on National Historical GIS Projects. Historical Geography, 33, pp. 134-158.
19. Knowles, A. K. (2005b) Emerging trends in historical GIS. Historical Geography, 33, pp. 7-13.
20. Langford, M. and Maguire, D. and Unwin, D. J.(1991) The areal interpolation problem: Estimating population using remote sensing in a GIS framework. In Handling Geographical Information: Methodology and Potential Applications. (pp. 55-77). Harlow UK: Longman.
21. Martin, D. (2003) Extending the automated zoning procedure to reconcile incompatible zoning systems. International Journal of Geographical Information Science, 17, pp. 181-196.
22. Martin, D. and Dorling, D. and Mitchell, R. (2002) Linking censuses through time: Problems and solutions. Area, 34, pp. 82-91.
23. McMaster, R. B. and Noble, P. (2005) The U.S. National Historical Geographical Information System, Historical Geography, 33, pp. 134-136.
24. Merzlyakova, I. A. (2005) Historical GIS initiative in Russia. Historical Geography, 33, pp. 147-149.
25. Norman, P. and Rees, P. and Boyle, P. (2003) Achieving data compatibility over space and time: Creating consistent geographical zones. International Journal of Population Geography, 9, pp. 365- 86.
26. Openshaw, S.(1984). In The Modifiable Areal Unit Problem. Concepts and Techniques in Modern Geography 38. Norwich UK: Geobooks.
27. Reibel, M. and Bufalino, M. E. (2005) Street-weighted interpolation techniques for demographic count estimation in incompatible zone systems. Environment and Planning A, 37, pp. 127-39.
28. Sadahiro, Y. (1999) Accuracy of areal interpolation: A comparison of alternative methods. Journal of Geographical Systems, 1, pp. 323-346.
29. Sadahiro, Y. (2000) Accuracy of count data transferred through the areal weighting interpolation method. International Journal of Geographical Information Science, 14, pp. 25 -50.
30. Simpson, L. (2002) Geography Conversion Tables: A framework for conversion of data between geographical units. International Journal of Population Geography, 8, pp. 69-82.
31. Unwin, D. (1995) Geographic Information Systems and the problem of 'error and uncertainty' Progress in Human Geography, 19, pp. 549-558.
32. Vision of Britain Through Time. 2005. Available online at: http://www.visionofbritain.org.uk (accessed 25 April 2005)