Efficient Voronoi diagrams and Delaunay trianglation for Ruby
RubyVor provides efficient computation of Voronoi diagrams and Delaunay triangulation for a set of Ruby points. It is intended to function as a complemenet to GeoRuby. These structures can be used to compute a nearest-neighbor graph for a set of points. This graph can in turn be used for proximity-based clustering of the input points.
require 'lib/ruby_vor' require 'pp' points = [ RubyVor::Point.new(120, 290), RubyVor::Point.new(110, 120), RubyVor::Point.new(160, 90.2), RubyVor::Point.new(3.14159265, 3.14159265) ] # Compute the diagram & triangulation comp = RubyVor::VDDT::Computation.from_points(points) puts "The nearest-neighbor graph:" pp comp.nn_graph puts "\nThe minimum-spanning tree:" pp comp.minimum_spanning_tree
# # Visualize these things as SVGs #
# Just the triangulation RubyVor::Visualizer.make_svg(comp, :name => 'tri.svg') # Just the MST RubyVor::Visualizer.make_svg(comp, :name => 'mst.svg', :triangulation => false, :mst => true) # Voronoi diagram and the triangulation RubyVor::Visualizer.make_svg(comp, :name => 'dia.svg', :voronoi_diagram => true)
Original public-domain C code (by Steven Fortune; ect.bell-labs.com/who/sjf/) and memory-management fixes for said C code (by Derek Bradley; www.derekbradley.ca) used (and released under the MIT-LICENSE) with permission.
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