Application of 2D methods for scattered data approximation to geophysical data sets
Michael RauthDepartment of Geophysics, University of Vienna
Nordbergstr.17, A-1090 Wien, Austria
e-mail: Mitch Rauth
Keywords: algorithms, scattered data
The aim of this paper is to study the performance of three methods used in the geophysical community for the gridding of irregularly sampled data sets: the minimum curvature method, the generalized equivalent source technique and kriging.
These methods are applied to synthetic and real world data sets and are compared in terms of robustness and reconstruction quality.
In addition the new ACT algorithm developed by Feichtinger, Gröchenig, and Strohmer will also be applied to geophysical data sets and its practical relevance will be indicated.