Closed aleppax closed 11 months ago
the visualization part is complete, now tested with random colors displayed over the map. But the interpolation of points is in an early stage. There are so many ways of accomplish this, IDW, linear interpolation, a web assembly ML model... a simplicistic idea is to use a roving sensor to collect a network of time-related samples, then design a diffusion model which propagates the single values to the whole area of influence. This part can be used as a viewer for different models.
add to the map a colored visualization (algebric or statistic interpolation) of inferred values. A good starting point is the type of visualization made by LASS for Taiwan. Maybe a different interpolation logic from IDW should be used.