Error estimation and optimization of gravity surveys1

Abstract Gravity data are often acquired over long periods of time using different instruments and various survey techniques, resulting in data sets of non‐uniform accuracy. As station locations are inhomogeneously distributed, gravity values are interpolated on to a regular grid to allow further processing, such as computing horizontal or vertical gradients. Some interpolation techniques can estimate the interpolation error. Although …