داستان آبیدیک

inverse distance weighted


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1 عمومی:: وزن دهی معکوس فاصله

A couple of ways of doing this is the inverse distance weighted (IDW) interpolation and kriging. For IDW predictions at unvisited locations are calculated as a weighted average of the values available at the known points, where the weights are based only by distance from the interpolation location. Functions for IDW interpolation and kriging are found in the gstat package. Using the idw function from gstat we fit the formula as below. As we can not evaluate the uncertainty of prediction with IDW, we can not really optimize this parameter.

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