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mclp and lscp jupyter notebooks using osrm routing #221
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Codecov Report
@@ Coverage Diff @@
## main #221 +/- ##
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+ Coverage 65.2% 65.5% +0.2%
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Files 23 23
Lines 2466 2466
Branches 535 535
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+ Hits 1609 1614 +5
+ Misses 783 774 -9
- Partials 74 78 +4
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Thanks so much for this @TimMcCauley! Here are some comments:
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Thank you @jGaboardi - I took care of your points and pushed an update. |
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@TimMcCauley I didn't know about the routingpy package. That's a great one, nice addition.
I have some points:
- I think the map is kinda small, mainly when we got the results. We could improve increasing the zoom_start to 15 and change the start location to
37.748273, -122.410558
. - The mission district geojson structure is hardcoded. We could change it by using Nominatim API, it's just a request. I'm also fine if @jGaboardi and @martinfleis think that hardcoded polygon is ok in that case.
- The polygon that you are using is a merge of two districts I think, Bernal Heights and Mission District. It would be good to remind that in the description or even in the comments that you did above the polygon definition line.
Awesome notebook!!! 🎉
@gegen07 thank you - I updated it & it looks better now. I'd keep the nominatim request out for this NB if it's ok but I am currently writing one for Toronto and LSCP and I will make sure to include it there. |
Very nice with the LSCP notebook. One small typo I saw between cells 2 and 3 where Solving the MCLP should be Solving the LSCP. |
Oh, right. Fixed that now! |
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Loved this LSCP notebook. LGTM!
Think this is good for merging. Thanks for the contribution @TimMcCauley 🎉 ! |
Greetings @martinfleis @jGaboardi - I refactored the notebook a little and added some comments. Please let me know what you think. Happy to work in feedback if you have ideas or comments. I'd go for LSCP up next (please choose your city :) ) !