Inverse Distance Weighting (IDW) is a type of deterministic method for multivariate interpolation with a known scattered set of points. The assigned values to unknown points are calculated with a weighted average of the values available at the known points.
The name given to this type of methods was motivated by the weighted average applied since it resorts to the inverse of the distance to each known point ("amount of proximity") when assigning weights.
Read more about Inverse Distance Weighting: Definition of The Problem
Famous quotes containing the words inverse and/or distance:
“Yet time and space are but inverse measures of the force of the soul. The spirit sports with time.”
—Ralph Waldo Emerson (1803–1882)
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At a short distance like a hundred miles
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And was afraid of all the living air....”
—Allen Tate (1899–1979)