IA idea · Geometry, trigonometry & Voronoi diagrams
Where should my town put its next defibrillator? A Voronoi analysis
Research question
Using a Voronoi diagram of the existing public defibrillators in [my town], where is the point furthest from all of them, and is that the best place for a new one once population and access are considered?
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Why it makes a good exploration
Survival after cardiac arrest drops quickly with every minute before defibrillation, so distance really matters. The largest-empty-circle method gives a precise answer — and the real-world objections to it give you outstanding Reflection.
The mathematics you'll need
- Perpendicular bisectors: midpoint, gradient, perpendicular gradient, equation
- Voronoi cells and vertices
- Vertices as circumcentres; the largest empty circle
- Distance formula and scale conversions
- HL: incremental algorithm when a site is added
Where the data comes from
Locate defibrillators from your town's public register or OpenStreetMap (tag emergency=defibrillator); overlay a grid with a known scale.
- OpenStreetMap — Free map with exact coordinates of schools, hospitals, shops and stations; export or read off coordinates.
- GeoGebra — Free geometry and graphing software — Voronoi diagrams, loci and regression built in.
Real data for this idea
- Primary source: OpenStreetMap. Read off coordinates (right-click, “Show address”) or use Export for a small area. Licence: Open Database Licence: credit “© OpenStreetMap contributors”; data you build from it must be shared alike.
OpenStreetMap is under the Open Database Licence: credit “© OpenStreetMap contributors”. Links checked October 2026; we link to the data and never copy it. More free data sets.
A possible outline
- Explain why the problem matters and state the aim.
- Set up coordinates and scale; tabulate sites.
- Show one perpendicular bisector in full; tabulate the rest.
- Construct the diagram and find the vertex furthest from its sites.
- Critique the proposed site (roads, rivers, where people are) and propose an improved one.
Pitfalls that cost marks
- Repeating identical bisector calculations — show one, tabulate the rest.
- A diagram with no scale or axes.
- Treating straight-line distance as travel distance without comment.
Showing personal engagement
- Walk the proposed route and time it.
- Talk to someone who manages first-aid provision locally.
- Compare the result with population density data.
See Criterion C: personal engagement for what examiners look for.
Which course is it for?
| Course | Fit | Maths to lean on |
|---|---|---|
| AA SL | Not a natural fit | The core technique sits in the AI course or at HL; an AA SL student could use it only as clearly explained new mathematics. |
| AA HL | Not a natural fit | The mathematics is mainly from the AI course; at AA HL the exploration would need an AA-level approach (calculus, proof or probability theory) to reach the top of Criterion E. |
| AI SL | Good fit | Perpendicular bisectors: midpoint, gradient, perpendicular gradient, equation; Voronoi cells and vertices |
| AI HL | Good fit | Perpendicular bisectors: midpoint, gradient, perpendicular gradient, equation; Voronoi cells and vertices |
Level: Solid. Needs some independent work beyond class examples. See how the IA differs between AA and AI, SL and HL.
How this idea reaches the top bands
Reflection (D)
For this idea, start with the weak points: repeating identical bisector calculations — show one, tabulate the rest; and a diagram with no scale or axes. Say how each one affects your answer.
Use of mathematics (E)
SL: perpendicular bisectors: midpoint, gradient, perpendicular gradient, equation; voronoi cells and vertices; vertices as circumcentres; the largest empty circle; distance formula and scale conversions, each explained in your own words and carried out correctly.
HL adds: incremental algorithm when a site is added, each explained in your own words and carried out correctly.
How geometry & voronoi explorations reach the top bands in general: Geometry, trigonometry & Voronoi diagrams IA ideas. Guides: A · B · C · D · E · self-grade sheet.
Taking it further
Recompute with taxicab distance for a grid-like town, or weight sites by opening hours (some are inside buildings that close).
Extending it for HL
This idea already has HL mathematics in it: incremental algorithm when a site is added. Make that the centre of the exploration and use it with full rigour.
See a complete IA, marked
Where should our town put its next defibrillator? A Voronoi analysis (AI SL) explores a question like this one, marked on every criterion.
Frequently asked questions
Which IB Maths course is this IA idea for?
It works for AI SL and AI HL. We rate it Solid: it needs some independent work beyond class examples.
What mathematics does this IA use?
Perpendicular bisectors: midpoint, gradient, perpendicular gradient, equation, voronoi cells and vertices, vertices as circumcentres; the largest empty circle, distance formula and scale conversions and hL: incremental algorithm when a site is added.
Where can I get data for this IA?
Locate defibrillators from your town's public register or OpenStreetMap (tag emergency=defibrillator); overlay a grid with a known scale. Checked sources and tools: OpenStreetMap and GeoGebra.
Turn this idea into your IA
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