Accuracy of areal interpolation: A comparison of alternative methods |
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| Authors: | Yukio Sadahiro |
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| Institution: | (1) 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), JP |
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| 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.
Received: 19 February 1999/Accepted 17 September 1999 |
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| Keywords: | : Areal interpolation accuracy error distribution stochastic model |
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