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Accuracy of areal interpolation: A comparison of alternative methods

Author

Listed:
  • Yukio Sadahiro

    (Center for Spatial Information Science University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan (e-mail: sada@okabe.t.u-tokyo.ac.jp))

Abstract

. This paper discusses the accuracy of spatial data estimated by areal interpolation, a process of transferring data from one zonal system to another. A stochastic model is proposed which represents areal interpolations in diverse geographic situations. The model is used to examine the relationship between estimation accuracy and the spatial distribution of estimation error from a theoretical viewpoint. The analysis shows that the uniformity in error distribution improves the accuracy of areal interpolation. Four areal interpolation methods are then assessed through numerical examinations. From this it is found that the accuracy of simple interpolation methods heavily depends on the appropriateness of their hypothetical distributions, whereas the accuracy of intelligent methods depends on the fitness of the range of supplementary data for that of true distribution.

Suggested Citation

  • Yukio Sadahiro, 1999. "Accuracy of areal interpolation: A comparison of alternative methods," Journal of Geographical Systems, Springer, vol. 1(4), pages 323-346, December.
    • Handle: RePEc:kap:jgeosy:v:1:y:1999:i:4:d:10.1007_s101090050017
    DOI: 10.1007/s101090050017
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    Citations

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    Cited by:

    1. Yukio Sadahiro, 2011. "Analysis of the relations among spatial tessellations," Journal of Geographical Systems, Springer, vol. 13(4), pages 373-391, December.
    2. Nicolai Moos & Carsten Juergens & Andreas P. Redecker, 2022. "Combined Small- and Large-Scale Geo-Spatial Analysis of the Ruhr Area for an Environmental Justice Assessment," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    3. Morito Tsutsumi & Daisuke Murakami, 2014. "New Spatial Econometrics–Based Areal Interpolation Method," International Regional Science Review, , vol. 37(3), pages 273-297, July.
    4. Ian N. Gregory & Paul S. Ell, 2005. "Breaking the boundaries: geographical approaches to integrating 200 years of the census," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 419-437, March.

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