Open gregmacfarlane opened 8 years ago
For zones, we could visualize
For networks, should visualize
I am not fully sure what these would look like, but I would point out that the challenge with the good ideas listed above, is the time dimension. I would also highlight that Ben and I both have produced great tools to visualize zone information (pop, emp, price, floorspace) in the past. The important thing isn't how much there is in a given year in a given scenario. The important thing to review is how these measures are changing over time or across scenarios, so when building these, please make sure the user can do a difference between two years or scenarios. I like the list, one more to consider might be trips and trips by mode, along with economic activity (product) - I bet John would have some great ideas too.
I guess we need to have a discussion about what the goal of this r package is, and if it is changing. Originally, it was to create an aid for the team to diagnose issues by having standard plots that we would also show to the peer review panel in the validation testing report. It was not to create a replacement for the interactive and detailed visualizations that @bstabler and @jeabraham have written in the past. I have neither the budget nor the desire to redo their work.
I was moving to leaflet because spatial relationships are important and swimr
currently doesn't handle them. I'm staying away from full shiny interaction because at that point, we would have to distribute the VIZ database along with the validation report.
I think @bettinardi's suggestion for elapsed and scenario-diffed images is good and I will do it. I just want to temper expectations about how much I am going to try and swallow.
Probably the best way to start is to manually create the needed maps in VISUM, and then if we find that we need to recreate them over and over again, automate the process. VISUM's Python API has plenty of features for creating maps, saving jpgs, etc.
It would be good to have leaflet plots of some key variables that the peer review panel can explore. What kinds of things should we visualize? Would love to have input from @bettinardi @rickdonnelly @bstabler.