Natural neighbor
Encyclopedia
Natural neighbor interpolation is a method of spatial interpolation, developed by Robin Sibson
Robin Sibson
Robin Sibson is a British mathematician and educator.He has been a fellow of King's College, Cambridge, professor of statistics at the University of Bath and then vice-chancellor of the University of Kent...

. The method is based on Voronoi tessellation
Voronoi diagram
In mathematics, a Voronoi diagram is a special kind of decomposition of a given space, e.g., a metric space, determined by distances to a specified family of objects in the space...

 of a discrete set of spatial points. This has advantages over simpler methods of interpolation, such as nearest neighbor, in that it provides a more smooth approximation to the underlying "true" function.

The basic equation in 2D is:
where is the estimate at , are the weights and are the known data at . The natural neighbour method proposes a measure for the computation of the weights, and the selection of the interpolating neighbors

The natural neighbor method utilizes the change to the Voronoi tessellation to compute weights. The weights, , are by utilization of the area "stolen" from the surrounding points when inserting a new point into the tessellation. Each weight may be computed by dividing the section of the new tessellated region that lies within the tessellated region of each original neighboring tessellated polygon.

See also

  • Inverse distance weighting
    Inverse distance weighting
    Inverse distance weighting is a method for multivariate interpolation, a process of assigning values to unknown points by using values from usually scattered set of known points...

  • Nearest neighbor interpolation
    Nearest neighbor interpolation
    Nearest-neighbor interpolation is a simple method of multivariate interpolation in one or more dimensions....

  • Multivariate interpolation
    Multivariate interpolation
    In numerical analysis, multivariate interpolation or spatial interpolation is interpolation on functions of more than one variable.The function to be interpolated is known at given points and the interpolation problem consist of yielding values at arbitrary points .-Regular grid:For function...


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