Interpolation | Multivariate interpolation

Multivariate interpolation

In numerical analysis, multivariate interpolation is interpolation on functions of more than one variable; when the variates are spatial coordinates, it is also known as spatial interpolation. The function to be interpolated is known at given points and the interpolation problem consists of yielding values at arbitrary points . 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). (Wikipedia).

Multivariate interpolation
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Smoothing | Natural neighbor interpolation | Tricubic interpolation | Nearest-neighbor interpolation | Bilinear interpolation | Barnes interpolation | Interpolation | Regular grid | Polynomial interpolation | Multilinear polynomial | Radial basis function | Inverse distance weighting | Cubic Hermite spline | Delaunay triangulation | Padua points | Simplex | Polyharmonic spline | Thin plate spline | Spline interpolation | Radial basis function interpolation | Linear interpolation | Bicubic interpolation | Piecewise linear function | Kriging | BĂ©zier surface | Trilinear interpolation | Triangulated irregular network | Numerical analysis | Spline (mathematics) | Lanczos resampling | Gradient-enhanced kriging | Barycentric coordinate system