Vq = interp2(X, Y, V, Xq, Yq)
Vq = interp2(V, Xq, Yq)
Vq = interp2(V)
Vq = interp2(V, k)
Vq = interp2(..., method)
Vq = interp2(..., method, extrapval)
| Parameter | Description |
|---|---|
| X, Y | Sample grid points: vectors or meshgrid arrays. |
| V | Sample values: real or complex matrix. |
| Xq, Yq | Query points. |
| method | 'linear', 'nearest', 'cubic', 'makima', or 'spline'. |
| extrapval | Scalar value returned outside the grid domain. |
| Parameter | Description |
|---|---|
| Vq | Interpolated values. For mixed-orientation query vectors, rows follow Yq and columns follow Xq. |
interp2 interpolates 2-D gridded data using meshgrid conventions. The default grid is X=1:size(V,2), Y=1:size(V,1).
interp2(V) refines the default grid once. interp2(V,k) inserts 2^k-1 interpolated points between samples in each dimension; k=0 returns V.
Grid vectors must be strictly monotonic. Complex values are interpolated by real and imaginary parts separately. Without extrapval, out-of-domain queries return NaN for linear, nearest, and cubic methods; makima and spline extrapolate by default.
The cubic-family N-D methods use a native tensor-product four-point stencil, with linear fallback on dimensions that have fewer than four samples.
V = [1 2; 3 4];
interp2(V, 1.5, 1.5)V = [1 2; 3 4];
Vq = interp2(V, 1)V = [1 2; 3 4];
Vq = interp2(V, 0, 1.5, 'linear', -1)[X,Y] = meshgrid(-3:3);
V = peaks(X,Y);
[Xq,Yq] = meshgrid(-3:0.5:3);
Vq = interp2(X,Y,V,Xq,Yq,'linear');