Interpolation
When you select a location that falls between sensors, AirScape uses interpolation to estimate air quality values. This mathematical technique calculates probable pollution levels based on readings from nearby sensors.
How interpolation works
AirScape's interpolation algorithm considers:
- Distance to sensors: Closer sensors have more influence on the estimate
- Number of nearby sensors: More data points generally mean better accuracy
- Sensor density: Areas with more sensors provide more reliable interpolated values
- Geographic factors: Buildings, roads, and terrain that might affect pollution distribution
Confidence levels
The place card displays a confidence indicator showing how reliable the interpolated data is:
| Confidence | Meaning |
|---|---|
| High | Multiple sensors nearby, data is very reliable |
| Medium | Reasonable sensor coverage, data is fairly reliable |
| Low | Few sensors in the area, treat as a rough estimate |
When you see interpolated data
Interpolated readings appear when you:
- Click on a location that isn't directly at a sensor
- Search for an address or place
- View a saved place that's between sensor locations
Improving accuracy
For the most accurate readings:
- Look for locations with high confidence levels
- Check the actual sensor locations nearby (shown on the map)
- Consider sponsoring a sensor in areas with low coverage to improve data accuracy for your community