The objective of this research was to estimate the best gridding interval that avoids aliasing in maps of ground gravity measurements in the northwestern region of Venezuela, before using any interpretive method. To achieve this goal, the self-similarity of the network was studied, since significant improvements in the characterization and design of gravimetric datasets using fractal dimension have been previously reported. The fractal dimension of the distribution of gravity stations in the network was determined by means of the box-counting method. It was obtained that the fractal dimension of the northwestern Venezuela gravity station network is 1.58, for a map generated with all the stations. This dimension corresponds to a minimum size of 10 km for the interpolation grid. Maps generated using the grid size obtained from the fractal analaysis seem to depict more acurately the observed gravity of the region. Maps with a grid size lower than this value showed anomalous structures that cannot be clearly correlated with the geology of the area and could be the result of interpolation errors; while those with a greater grid size showed very smoothed contoured lines that could hide detailed information. Presentation Date: Tuesday, October 16, 2018 Start Time: 1:50:00 PM Location: 213B (Anaheim Convention Center) Presentation Type: Oral