Optimal Site Location
Our AI-powered site location tool helps you determine the most effective places to position air quality monitors based on population density, pollution sources, and geographic factors.
Location AI Technology
Our Location AI uses advanced spatial optimization algorithms to identify the most strategic positions for air quality monitors. The system considers multiple factors:
- •Population density and distribution patterns
- •Known pollution sources and emission patterns
- •Geographical features that affect air flow
- •Existing infrastructure and accessibility
- •Coverage optimization to minimize redundancy
The AI model has been trained on extensive datasets from across Africa, including:
- •Historical air quality measurements from existing networks
- •Satellite-derived pollution estimates
- •Urban development and land use patterns
- •Demographic and population data
How It Works
Define Your Area
Draw a polygon on the map or search for a location to define your area of interest.
Set Parameters
Specify the number of sensors and minimum distance between them.
Get Optimal Locations
Our AI algorithm will suggest the best locations for your air quality monitors.
Key Benefits
Maximize Coverage
Ensure your monitoring network covers the most critical areas with minimal redundancy.
Cost Efficiency
Optimize your resources by placing sensors where they'll provide the most valuable data.
Data-Driven Decisions
Base your deployment strategy on scientific analysis rather than guesswork.
Customizable Constraints
Add must-have locations and set minimum distances to meet your specific requirements.