dirtywind is a R package that uses the great splitr to model wind trajectories and join these data with different sources of pollution (i.e. MODIS AOD and EPA's AQS). This library adds some changes over the splitr package. First, we add PostGIS support, and also add some small parallel loops to accelerate modeling time.
This is a work in progress:
- Add repo and split from old Python code
- Add package configuration
- Add PostGIS connection to functions