Minimizing effects of scale distortion for spatially grouped census data using rough sets
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Bibliographic InfoArticle provided by Springer in its journal Journal of Geographical Systems.
Volume (Year): 10 (2008)
Issue (Month): 1 (March)
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Web page: http://www.springerlink.com/link.asp?id=103079
Census data; Scale problem; Rough sets; Deprivation index; Scale sensitivity;
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- Pawlak, Zdzislaw, 1997. "Rough set approach to knowledge-based decision support," European Journal of Operational Research, Elsevier, vol. 99(1), pages 48-57, May.
- A S Fotheringham & D W S Wong, 1991. "The modifiable areal unit problem in multivariate statistical analysis," Environment and Planning A, Pion Ltd, London, vol. 23(7), pages 1025-1044, July.
- M Tranmer & D G Steel, 1998. "Using census data to investigate the causes of the ecological fallacy," Environment and Planning A, Pion Ltd, London, vol. 30(5), pages 817-831, May.
- Gift Dumedah & Nadine Schuurman, 2008. "Minimizing the effects of inaccurate sediment description in borehole data using rough sets and transition probability," Journal of Geographical Systems, Springer, vol. 10(3), pages 291-315, September.
- José-María Montero & Coro Chasco & Beatriz Larraz, 2010. "Building an environmental quality index for a big city: a spatial interpolation approach combined with a distance indicator," Journal of Geographical Systems, Springer, vol. 12(4), pages 435-459, December.
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