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On estimating gravity anomalies - A comparison of least squares collocation with conventional least squares techniquesThe 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 the mean and covariance of a random vector (gravity anomalies) given a realization of a correlated random vector (geodetic data). It is also shown that the collocation solution for gravity anomalies is equivalent to the conventional least-squares-Stokes' function solution when the conventional solution utilizes properly weighted zero a priori estimates. The mathematical and physical assumptions underlying the least squares collocation estimator are described.
Document ID
19770058603
Document Type
Reprint (Version printed in journal)
Authors
Argentiero, P. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Lowrey, B. (NASA Goddard Space Flight Center Greenbelt, Md., United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1977
Publication Information
Publication: Bulletin Geodesique
Volume: 51
Issue: 2, 19
Subject Category
GEOPHYSICS
Distribution Limits
Public
Copyright
Other