Real-estate demand research map at dawn
Real-estate demand research platform
Map-based scenarios that retain assumptions, units, and provenance.
Real-estate demand research
A map-based cockpit supports exploration across areas, radii, segments, and scenarios on top of a reproducible pipeline. The presentation will show the method and interface states with fictional data, not figures or results from audited sources.
The problem
Comparing real-estate supply, areas, and scenarios requires every reading to retain its assumptions, units, and provenance without turning a private snapshot into a public claim.
What was actually built
Map-based exploration of areas, radii, segments, and scenarios with layers and interactive controls.
The floor and the ceiling
Cut
Method example · not a resultReading
Method example · not a result- Absorption
- Rising
- Household form.
- In range
- Supply vs floor
- Covered
The middle band is the difference: the floor peeks out beneath the ceiling, and the wider it is, the farther one is from the other — it is what an investor looks at. No data: a zone with no snapshot coverage; it is drawn and declared, not filled in.
No layer is the real study of these cities · No projects, developments or locations · No figures or results from the audited sources are published.
- 01
Map
A recreated choropleth map uses invented areas and coordinates with a visible scale and filters.
- 02
Scenarios
A synthetic comparison brings together radii, trends, and empty-data states.
- The map component implements cartographic market exploration with layers and interaction controls.
Limits of the evidence
- No figures or results from audited sources are published.
Technology
- Next.js
- MapLibre
- PostgreSQL/PostGIS
- Python ETL
