![]() ![]() Parameters - vor : Voronoi Input diagram radius : float, optional Distance to points at infinity. Once I’ve figured it out, I’ll add to this post. 1 Answer Sorted by: 3 def voronoifinitepolygons2d (vor, radiusNone): ''' Reconstruct infinite voronoi regions in a 2D diagram to finite regions. I don’t need it for my purposes, but it would be prettier for sure. I am still trying to figure out the tree voodoo I need to use in order to shatter the voronoi division lines, reconstruct them as degree 3 spline curves, and maybe add an option for smoothing. Not sure how one would avoid that, and it’s not an immediate concern for me, I just won’t use that kind of input. The one thing that algorithm does that yours does not is that it sees overlapping curves as one curve. Pufferfish may be avoidable, but everybody has it anyway, so I left it in. My version requires Pufferfish and Kangaroo 2 in addition to the component above. Here is my variation of your Voronoi from Curves: voronoi from curves + clustered version.gh (47.5 KB) Instead I use Laurent’s surface split method. I tweaked your definition a little bit, and created a clustered version. If anyone else needs to do voronoi around curves, here is that component: MeshDual.gha (9.5 KB) Ar was inspired by the mathematical Voronoi diagram when creating this pattern. Such optimization goals arise in facility location problems consisting of both. I finally downloaded that mesh dual component. of the area of Voronoi regions of a set of points placed inside a circle. Map algebra is the collection of tools that enable the user to perform calculations with (3D) raster files, as described in. Key Words: circle set Voronoi diagram, Apollonius 10th problem, linear factional transformation, rational quadratic Bzier curve, point location problem. ![]()
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