A kriging based practical approach for areal interpolation

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  • Krigingを用いた実用的な面補間法
  • Krigingを用いた実用的な面補開法
  • Kriging オ モチイタ ジツヨウテキ ナ メンホカイホウ

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Abstract

<p>Spatial unit convergence, called areal interpolation, is often applied to address this problem. Of the many areal interpolation methods that have been proposed, a few consider spatial autocorrelation which is the general property of spatial data. Here, a new areal interpolation method that considers spatial autocorrelation is constructed by combining linear regression based areal interpolation method and kriging: a spatial statistical method. The proposed method, whose implementation and extension is easy, is practical among spatial statistics based areal interpolation methods. Then, a case study showed that the suggested method succeeds in improving the predictive accuracy and indicated that considering spatial autocorrelation is important for accurate areal interpolation.</p>

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