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Multivariate interpolation : ウィキペディア英語版
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 (x_i, y_i, z_i, \dots) and the interpolation problem consist of yielding values at arbitrary points (x,y,z,\dots).
Multivariate interpolation is particularly important in geostatistics, where it is used to create a digital elevation model from a set of points on the Earth's surface (for example, spot heights in a topographic survey or depths in a hydrographic survey).
==Regular grid==
For function values known on a regular grid (having predetermined, not necessarily uniform, spacing), the following methods are available.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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