Search Results for "open voronoi"
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Showing 7 open source projects for "open voronoi"
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VoronoiFVM.jl
Solution of nonlinear multiphysics partial differential equations
Solver for coupled nonlinear partial differential equations (elliptic-parabolic conservation laws) based on the Voronoi finite volume method. It uses automatic differentiation via ForwardDiff.jl and DiffResults.jl to evaluate user functions along with their jacobians and calculate derivatives of solutions with respect to their parameters. -
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ggforce
Accelerating ggplot2
ggforce is an extension package for ggplot2 that introduces specialized statistical transforms, geoms, and layout utilities to enhance and complement the built-in ggplot2 offerings. It enables more advanced visualization techniques such as faceting enhancements, hulls, annotation marks, and novel layouts for network data and marked regions. -
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WSCVT
Weight Spherical Centroidal Voronoi Tessellation
Implementation of the Weight Spherical Centroidal Voronoi Tessellation described in http://arxiv.org/abs/0912.3974 It uses this implementation of convex hull: http://www.cs.ubc.ca/~lloyd/java/quickhull3d.html -
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Plantra-Trajectory Planning is a software to rebuild surfaces from cloud points, featuring shaded 3D visualization and path planning for robotics paths. It uses Voronoi diagram, Cyrus-Beck clipping, Delaunay triangulation and B-Splines.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Acre calculates growing-space or stand-density of trees and creats pictures of it. It can also be used to calculate weighted Voronoi-Diagrams (splits up an area to the neares point or to the point with the greatest influence at a certain place).
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libvoronoi computes image-based 2D Voronoi diagrams using graphics hardware for interactive applications. It can optionally return the centroids and image moments of the Voronoi regions using arbitrary distance functions. It is simple, portable and fast.
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