Described in table lookup terms, the table is tab = and interp2 looks up the elements of XI in X, YI in Y, and, based upon their location, returns values ZI interpolated within the elements of Z.Įxample 1. Interpolation is the same operation as table lookup. It finds values of a two-dimensional function underlying the data at intermediate points. The interp2 command interpolates between data points. A method must be specified to use extrapval. Thus, ZI equals extrapval for any value of YI or XI that is not spanned by Y or X respectively. Specifies a method and a scalar value for ZI outside of the domain created by X and Y.
For faster interpolation when X and Y are equally spaced and monotonic, use the methods '*linear', '*cubic', '*spline', or '*nearest'. Variable spacing is handled by mapping the given values in X, Y, XI, and YI to an equally spaced domain before interpolating. If you provide two monotonic vectors, interp2 changes them to a plaid internally. Specifies an alternative interpolation method:Īll interpolation methods require that X and Y be monotonic, and have the same format ("plaid") as if they were produced by meshgrid. In this case, interp2 interprets these vectors as if you issued the command meshgrid(xi,yi).Īssumes that X = 1:n and Y = 1:m, where = size(Z).Įxpands Z by interleaving interpolates between every element, working recursively for ntimes. Alternatively, you can pass in the row and column vectors xi and yi, respectively. XI and YI can be matrices, in which case interp2 returns the values of Z corresponding to the points (XI(i,j),YI(i,j)). Out of range values are returned as NaNs. Matrices X and Y specify the points at which the data Z is given. X and Y must be monotonic, and have the same format ("plaid") as if they were produced by meshgrid. Returns matrix ZI containing elements corresponding to the elements of XI and YI and determined by interpolation within the two-dimensional function specified by matrices X, Y, and Z. The interp1 help describes the linear option as 'The interpolated value at a query point is based on linear interpolation of the values at neighboring grid points in each respective dimension.' For your vector of data there are (at most) two data points that are neighbors (along the X axis) of the new point (assuming that sample points at data. Two-dimensional data interpolation (table lookup) All interpolation methods require that X and Y be monotonic, and have the same format ('plaid') as if they were produced by meshgrid.If you provide two monotonic vectors, interp2 changes them to a plaid internally. Interp2 (MATLAB Functions) MATLAB Function Reference
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