Improvement Research on Inverse Distance Weighting Method Based on Dynamic Voronoi Diagram
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Graphical Abstract
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Abstract
In the light of the shortage of traditional inverse distance weighting method, this paper proposes to use the dynamic Voronoi method to select neighboring points to be interpolated point, to add increment reflecting the gradient to every known data points, and to creat neighborhood of the known data points to avoid calculation error. The result of cross inspection shows that improved inverse distance weighting method is better than the traditional one.
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