Some Images of the latest research on attractors conducted with Grasshopper. The definition is creating a 3D point grid; for each point of the grid is associated a component using the bounding box. The attractor points calculate the distance to the point grid scaling the components down accordingly; in the setting showed in these images the scaling factor had a threshold below which the geometry get canceled: the result is a sort of boolean operation carving the mass of the point grid.
Above: first investigation on 2D and 3D fields; the colors in these case established a gradient which indicate the average distance of points to the attractors: color is data! the attraction can be regulated according with 2 parameters: the power of attraction and the scale factor which describes the extend of the Gaussian boundaries determined by the overlapping of two or more poles of attraction. Thanks to Panagiotis Michalatos (AKT) for C# support.
Above: first investigation on 2D and 3D fields; the colors in these case established a gradient which indicate the average distance of points to the attractors: color is data! the attraction can be regulated according with 2 parameters: the power of attraction and the scale factor which describes the extend of the Gaussian boundaries determined by the overlapping of two or more poles of attraction. Thanks to Panagiotis Michalatos (AKT) for C# support.
