StreetLightingFla Visibility Studio

Mapped Streetlight Atlas

Every country is shown for context. Countries with extracted OpenStreetMap streetlight counts are highlighted; grey countries are not treated as measured zero.

Go street-level where extracts exist

The Atlas is global context. The point map shows real OpenStreetMap street-lamp points for available regions with tag-based filters.

Open streetlight point map

Street-level extracts available now

The globe/atlas country layer is count-context. The point map has a searchable selector for every available static OSM node extract; countries without a built extract remain count/context only.

Lighting context

What this tells you

Use this as context only. The real question is whether people can see the markings clearly at night or in rain.

241country/territory polygons shown
144extracted count records
OSMmapped coverage
Coverage sample

Mapped streetlight coverage

These sample figures show where static mapped-count extracts exist today. Other countries stay visible as grey land for orientation, not as measured zeroes.

Global geometry is complete; extracted count coverage is partial. Always confirm the real site with photos, lighting checks and measurements.

How to use it

Plain-English reading

  • If the area is poorly mapped, do not assume the lighting is good.
  • If markings matter at night, test wet and worn visibility before buying paint.
  • Use local site photos and measurements for the final decision.
Next step

Turn context into a marking decision

Use the simulator to check lighting quality, rain/wear conditions, bay layout, paint quantity and equipment route.

Data boundary: country counts are prepared from OpenStreetMap-derived extracts under ODbL where available. They show mapped coverage, not a physical lamp census; grey countries mean no prepared extract in this site layer yet.