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An improved solution for the problem of upward continuation of gravity field data in rugged topography
The problem of upward continuation of potential field data measured on rugged topography has been tackled by several authors. Its importance lies in the fact that gravity data, and to a certain extent also magnetic and aeromagnetic data, are not measured on a plane, whereas all algorithms for signal analysis and inversion are designed to work with data reduced to a plane surface. On the other hand, the need of properly prepared gravity and magnetic data does not permit careless solutions of this problem. The method proposed in this paper is based on the principle of equivalent-sources. In our method, the equivalent-source layer has a specific geometry and depth. Therefore, only the density distribution has to be inverted. The upward continuation is then performed by means of a stepwise foreward computation procedure which minimizes edge effects. The method provides a well-conditioned system of linear equations and is, therefore, quite stable and produces high-quality results (errors less than 0.04% using the whole grid to invert for the density distribution) even in the case of very rough topography, which is its main advantage
Structural features of the South-Western Sardinian shelf (Western Mediterranean): Integrated interpretation of aeromagnetic, seismic and geological data
Volcano-Tectonic evolution of the offshore Cagliari Gulf (Western Mediterranean) from geophysical data
Structural features of the south-western Sardinian shelf (Western Mediterranean) deduced from aeromagnetic and high-resolution reflection seismic data
Aeromagnetic constraints on the geostructural interpretation of the southern part of the Sardinian rift (Italy)
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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