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Voronoi Diagrams

Geometry & Trigonometry

Which school, defibrillator, fire station or kebab shop is closest to any point in your town? Split the map into nearest-point regions, then use the areas of the regions to answer a question you actually care about.

Where this idea comes from

Start here β€” these are the sources that inspired this exploration.

Introduction

Drop a set of points on a map β€” supermarkets, water fountains, train stations, ambulance bases β€” and divide the map so each region contains everywhere closest to one point. That's a Voronoi diagram, and it is how Melbourne draws school catchments and how planners site fire stations. Once you have the regions, their AREAS start answering real questions: which branch serves the largest share of the town? If sites serve equal populations, are the areas fair? Where is the most poorly-served spot β€” the centre of the largest circle that touches no site β€” and is that where the next site should go? Pick a scenario from your own life: pizza delivery zones, choosing which lifeguard chair watches which swimmers, where to stand in a doubles match, planting trees so each gets its share of ground. Then ask the question that turns this into a real investigation: is 'closest as the crow flies' actually the right rule for your scenario β€” and if not, what is?

Guiding Questions
  • Choose a scenario and gather real points: every defibrillator, supermarket or bus stop in your area, with coordinates from an online map. Construct the diagram with perpendicular bisectors, then check it with a Voronoi tool.
  • Use the areas of your regions to answer a concrete question: which site carries the biggest load? If each site can only serve so many people, which region is in trouble?
  • Find the worst-served point on your map β€” the centre of the largest empty circle. If you could add one new site, where should it go, and how much does the worst case improve?
  • Now interrogate your own model: is straight-line distance really what matters in your scenario? Decide what your scenario actually cares about, test whether the plain diagram captures it, and adapt your rule if it doesn't.
  • Compare your diagram with reality β€” the actual school catchment, delivery zone or coverage map. Where do they disagree, and what explains the difference?
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Key Mathematical Concepts
Optimization Perpendicular Bisectors Voronoi Diagrams Algorithms Area Calculation Maps Computational Geometry Spatial Analysis
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