2004
DOI: 10.1007/s00190-004-0402-5
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Discrete evaluation of Stokes?s integral by means of Voronoi and Delaunay structures

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Cited by 12 publications
(5 citation statements)
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“…As remarked in an earlier paper (Santos and Escobar, 2004), the schemes presented similar results with each other, as well as in comparison with a classical point-wise numerical integration. In this work, Voronoi scheme does not close the convex hull to ensure that the border cells were exactly those produced by Voronoi tesselation.…”
Section: Discussionsupporting
confidence: 79%
See 1 more Smart Citation
“…As remarked in an earlier paper (Santos and Escobar, 2004), the schemes presented similar results with each other, as well as in comparison with a classical point-wise numerical integration. In this work, Voronoi scheme does not close the convex hull to ensure that the border cells were exactly those produced by Voronoi tesselation.…”
Section: Discussionsupporting
confidence: 79%
“…In addition, Voronoi and Delaunay schemes were used to compute the geoid, now considering the gridded data alone, that is, after removing the "observed" irregularly distributed points. This procedure nearly corresponds to the classical method issue by point-wise numerical integration (Santos and Escobar, 2004). This gridded data include 2881 evenly spaced 5-arcmin resolution Helmert anomalies, that were derived from Bouguer data according to Eq.(12).…”
Section: 1 V O R O N O I / D E L a U N A Y P A R T I T I O N Smentioning
confidence: 99%
“…This is because the non-homogeneity of space requires, for cognitive reasons, that it is divided into elements with an identical structure, clearly distinguishable from the other parts of the area under study [11]. The most significant characteristic of this method is the possibility of preserving the original data despite their processing, and, primarily, for surviving the unavoidable smoothing in connection with the spatial distribution of data and avoiding additional smoothing due to interpolation of the analyzed values [24].…”
Section: Research Methodology-voronoi Diagramsmentioning
confidence: 99%
“…As a result, the spatial aspects of the studied phenomena can be visualized in a manner that accounts for their heterogeneous character, particularly when data are dispersed or in short supply [ 35 ]. In addition, data are not over-smoothed by interpolation, and their original form is preserved during processing [ 48 ].…”
Section: Literature Reviewmentioning
confidence: 99%