The purpose of this article is to illustrate the characteristics of various interpolation methods. Seismic data need to be interpolated when the spatial sampling of acquired data is coarser than the spatial sampling required for a multichannel process. This multichannel process can be as simple as stacking traces to reduce coherent noise or as complex as prestack depth migration. Interpolation requires some assumptions about the character of the seismic data. One assumption in the methods considered for this article is that seismic events are linear. In practice, the data are not perfectly linear, and we will show later the results of violating the assumption of linearity.