Closed jwestw closed 2 years ago
Plots we need:
Knowing our data
Other ideas:
Tables that could be useful:
Output an aggregated version of those with transport capacity who are disabled/not disabled, age, and sex as shown in Estonia's write up.
Had a random go at plotting the service areas for Hull and comparing to images of the LA. Looks like the calculation seems to make sense!
Attached some plots created in QGIS - can share the geopackage that contains all the layers if people would like.
Method plots designed to show process. Done for York as could get a good mix of city / rural output areas. Images below are:
LA LA + output areas Stops (green = bus, red = rail) Service areas Pop centroids in OAs Pop centroids in service areas Pop centroids not in service areas
@nkshaw23 These look excellent. Really informative at a glance and will also really help explain the methodology write up. I would love to know how you have done them and whether the other needed-plots that I have listed above can be done by the same method(s).
I can show you tomorrow on the call - but done in QGIS.
Happy to discuss other plots, but the nationwide ones would be difficult to present well due to data sizes..
Making note to add this diagram into the docs before closing the ticket.
Adding extra images (with legend) and additional rural / urban image before closing.
To illustrate the steps and intermediate steps that calculation goes through, it would be good to have some graphical outputs.
Plots that would be useful could include:
Plots may be produced using geopandas and geoplot or, if a GUI is prefered, then QGis
Some useful geopandas and geoplot related links: