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The Generation of Spatial Population Distributions from Census Centroid Data

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  • I Bracken
  • D Martin

Abstract

Census data are commonly used in geographical analysis and to inform planning purposes, though at the disaggregate level the basis of enumeration poses difficulties. In this paper an approach to surface generation is described that offers the prospect of revealing an underlying population distribution from centroid-based data which is independent of zonal geography. It is suggested that this can serve a wide variety of analytical, cartographic, and policy purposes, including the creation of spatial indicators of economic and social conditions and enhancing the value of census data. The approach is illustrated by reference to an analysis of part of the valleys of South Wales, in the United Kingdom.

Suggested Citation

  • I Bracken & D Martin, 1989. "The Generation of Spatial Population Distributions from Census Centroid Data," Environment and Planning A, , vol. 21(4), pages 537-543, April.
    • Handle: RePEc:sae:envira:v:21:y:1989:i:4:p:537-543
    DOI: 10.1068/a210537
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    Cited by:

    1. Michael Reibel, 2007. "Geographic Information Systems and Spatial Data Processing in Demography: a Review," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 601-618, December.
    2. Michael Reibel & Aditya Agrawal, 2007. "Areal Interpolation of Population Counts Using Pre-classified Land Cover Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 619-633, December.
    3. Marcia Castro, 2007. "Spatial Demography: An Opportunity to Improve Policy Making at Diverse Decision Levels," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 477-509, December.
    4. Guangqing Chi, 2009. "Can knowledge improve population forecasts at subcounty levels?," Demography, Springer;Population Association of America (PAA), vol. 46(2), pages 405-427, May.

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