Spatialize Roads Proxy

[potato-nathan]

The script in .\proxy_processing\task_roads_proxy.py needs to be amended to leverage python geospatial stack. Using this issue as a means of tracking questions and changes.

[potato-nathan]

Overarching goal-- relative amount of emissions produced by a length of road, by vehicle type. Example:

For a semi truck, its emissions for "Other" roads is next to nothing. The majority of its emissions come from primary and secondary.

The vmt data is emissions by road type by urbanicity, by state.

The output for a given state, for a given vehicle type might look like this:
NICK'S TABLE

state	grid_cell_id	urbanicity	road size	vehicle type	geometry	rel_emi
		urban	primary	truck		0.05
		rural	primary	truck		0.9
		urban	secondary	truck		0.02
		rural	secondary	truck		0.02
		urban	other	truck		0.01
		rural	other	truck		0.01

Each grid cell receives a value for state-normalized relative emissions for that grid cell. The value is derived from the values from vm2 and vm4 tables times the length of road in that grid cell