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Areal Interpolation of Population Counts Using Pre-classified Land Cover Data

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  • Michael Reibel
  • Aditya Agrawal

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Suggested Citation

  • 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.
  • Handle: RePEc:kap:poprpr:v:26:y:2007:i:5:p:619-633
    DOI: 10.1007/s11113-007-9050-9
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    References listed on IDEAS

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    1. Gotway C.A. & Young L.J., 2002. "Combining Incompatible Spatial Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 632-648, June.
    2. Flowerdew, Robin & Green, Mick, 1992. "Developments in Areal Interpolation Methods and GIS," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 67-78, April.
    3. 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.
    4. M F Goodchild & L Anselin & U Deichmann, 1993. "A Framework for the Areal Interpolation of Socioeconomic Data," Environment and Planning A, , vol. 25(3), pages 383-397, March.
    5. 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.
    6. P F Fisher & M Langford, 1995. "Modelling the Errors in Areal Interpolation between Zonal Systems by Monte Carlo Simulation," Environment and Planning A, , vol. 27(2), pages 211-224, February.
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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. Fabián Santos & Valerie Graw & Santiago Bonilla, 2019. "A geographically weighted random forest approach for evaluate forest change drivers in the Northern Ecuadorian Amazon," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-37, December.
    3. D. J. Roncancio & A. C. Nardocci, 2016. "Social vulnerability to natural hazards in São Paulo, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1367-1383, November.
    4. Vignes, Céline & Rimbourg, Sarah & Ruiz-Gazen, Anne & Thomas-Agnan, Christine, 2013. "Fiches méthodologiques, méthodes statistiques d’allocation spatiale : interpolation de données surfaciques," TSE Working Papers 13-446, Toulouse School of Economics (TSE).

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