This function can be used to grid residual gravity anomaly data G anywhere in 3 dimensional space using the Forsberg 1987 logarithmic co-variance function.
Forsberg, R. A New Covariance Model for Inertial Gravimetry and Gradiometry.
1987. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 92, NO. B2, PAGES 1305-1310.
The required input arguments are the known values, X,Y,Z locations of the gravity observations, the residual gravity signal G, the parameters of the co-varaince function C0 D and T, a vector of estimated variances N (one for each observation O(X,Y,Z,G)) and the locations Xi,Yi,Zi where the signal is desired to be interpolated to.
Jack (2022). LSClogarithmic(Xi,Yi,Zi,X,Y,Z,C0,D,T,N,G) (https://www.mathworks.com/matlabcentral/fileexchange/57329-lsclogarithmic-xi-yi-zi-x-y-z-c0-d-t-n-g), MATLAB Central File Exchange. Retrieved .
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