Golden Software recently hosted a training class on gridding and interpolating data in Surfer. Before the class was held, a user asked if we’d specifically cover the best options for gridding airborne geophysical data. At the time, it was not in the schedule, but as I looked at the data I thought this type of data could be very common and would make a great example. In this type of data, the data is taken in lines, where the data points along the lines are much closer together than the spacing between the lines. Users generally want to interpolate the data to create a smooth color-filled image map while maintaining the data at sufficient resolution to show important anomalies.