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Unread 10-08-2018, 07:59 PM
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pic: 2019 Round 1 Event Assignment

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Unread 10-08-2018, 08:09 PM
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Re: pic: 2019 Round 1 Event Assignment

Nice work. That underlying shape file of the US is a little rough though. I don't know if that is a limitation of how you made the map.

Radial flow maps are interesting, the scale for this may be a bit to small (the area you are covering is to large). It may be interesting to bin the incoming lines to 10-20 degree increments and for each event create a circular bar plot or a polar graph of the coefficient of variation for each bin vs. the whole.

(If you have the raw data would be interested in playing with it in arc map)
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Unread 10-09-2018, 04:34 AM
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Re: pic: 2019 Round 1 Event Assignment

I generated the maps with python's matplotlib and Basemap. The libraries weren't particularly well documented or easy to use, so there may be a way to increase the resolution that I didn't see.

You can find a csv file with each of the team and event coordinates, and the TBA event type number* here. The team coordinates are from FIRSTmap and the event coordinates are from TBA. I'm interested in seeing how you can use this data.


*0=Regional, 1=District, 2=DCMP, all other events excluded
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Unread 10-09-2018, 07:33 AM
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Re: pic: 2019 Round 1 Event Assignment

Quote:
Originally Posted by AriMB View Post
I generated the maps with python's matplotlib and Basemap. The libraries weren't particularly well documented or easy to use, so there may be a way to increase the resolution that I didn't see.

You can find a csv file with each of the team and event coordinates, and the TBA event type number* here. The team coordinates are from FIRSTmap and the event coordinates are from TBA. I'm interested in seeing how you can use this data.


*0=Regional, 1=District, 2=DCMP, all other events excluded

Yeah... basemap is good for sanity checks at large(r) scales and not much else, i.e. it's fine for plotting a satellite trajectory w/ point data, but falls apart when you need it for actual location on the map. (There may be a way to increase the pyrimid level (resolution) that I am not aware of.)

A better option would be to use cartopy to bring in a shape layer of state outlines, (maybe add US_Major_Roads while you're at it), add the team data, and project it.

I think I will try to get my travel times script going and use that data, I may manually throw together an event chart as discribed in ny previous post. Off the top of my head matplotlib is the only package I know of that has a fighting chance of doing it automatically. Qfter that I think a custom expression in adobe may be the only real option (or generate it with custom code).
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