A Comparative Analysis of Conventional Methods for Sensor-Driven Spatial Interpolation for Air Quality Monitoring
Accurate air quality mapping in regions with sparse sensor deployment remains a challenge due to high infrastructure costs. While modern literature increasingly favors heavy, cloud-based Artificial Intelligence frameworks that assume dense input networks, the operational boundaries and mathematical fidelity of lean, ed...