A theory for designing parallel track-type geophysical surveys, as well as the necessary numerical algorithms for implementing this theory, is developed which is easily applied to many different sampling problems. Within this context, survey design consists of defining the appropriate track spacing, track direction, and down-track sampling rate which will produce a set of discrete digital measurements describing the environment to a predetermined accuracy. Several practical applications are presented to illustrate the adaptability of the theory.