On estimating gravity anomalies— A comparison of least squares collocation with conventional least squares techniques

摘要: The least squares collocation algorithm for estimating gravity anomalies from geodetic data is shown to be an application of the well known regression equations which provide mean and covariance a random vector (gravity anomalies) given realization correlated (geodetic data). It also that solution equivalent conventional least-squares-Stokes' function when utilizes properly weighted zero priori estimates. mathematical physical assumptions underlying estimator are described.