How the Scanner Works
A transparent look at the data sources, selection criteria, and computation behind our location intelligence platform.
Data Sources
Climate Data
Global annual-mean temperature bands from WorldClim v2.1 BIO1, processed into multiple 2°C classes. The scanner filters these climate polygons dynamically from the temperature slider.
Airport Networks
International airport locations with hub tier classification (1/2/3). Used to compute proximity-to-access scores for each candidate zone.
Political Stability
World Bank Governance Indicators — six dimensions including political stability, rule of law, regulatory quality, government effectiveness, control of corruption, and voice & accountability.
Population Density
Gridded population density maps classifying terrain into high, medium, and low density zones. Used to ensure seclusion criteria are met.
Property Intelligence
Curated country-level data on visa accessibility, cost of living, internet infrastructure, healthcare quality, and digital nomad visa availability.
Selection Criteria
Candidate zones must satisfy all of the following simultaneously:
- Fall within the selected annual-mean temperature band (slider-driven climate range)
- Be located in a country scoring above the stability threshold (default: 50/100)
- Have an international airport within the configurable distance range (default: 100–300 km)
- Have population density below the maximum threshold (default: ≤25 per km²)
Zone Computation
The scanner performs geometric intersection of all data layers: stable country polygons are intersected with the climate band, then with low-density areas, then filtered by airport proximity. The resulting geometries are candidate zones—regions that satisfy every criterion simultaneously.
Precomputed zones use a default parameter set for fast first paint. Once data is loaded, a web worker performs live geometric recomputation (airport donut bands × climate × stability × population density) as filters change, then streams updated zones back to the map.