An average hides the local gap
A region can look well supplied while individual communities remain far from the service they need.

Geospatial analysis shows where a service exists on paper but is difficult to reach in practice. Distance, travel time, demand, capacity and service areas tell a different story from a regional average.
A region can look well supplied while individual communities remain far from the service they need.
People use roads and transport, not statistical borders. Travel time can matter more than straight line distance.
Demand, current supply, accessibility and workload need to be compared in the same geography.
A map is not analysis by itself. I combine spatial data with demand, capacity and outcome measures so places can be compared and the reasoning can be explained.
Check addresses, coordinates, boundaries and spatial quality.
Add population, workload, demand and relevant context.
Calculate distance, travel time, coverage or the measure that matches the real use case.
Compare places and show where a change is likely to have the largest effect.