Comments (3)
Robinlovelace
commented on August 16, 2024
Or use {targets}? Impressed after recent tests!
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mpadge
commented on August 16, 2024
Yeah, {targets} is great, and that's probably a good idea to make this a {targets}-based workflow. What this exercise has really made me reaslise is how easier this would all be with a system like kedro. I'd love to re-code all of {dodgr} back-end in rust, front-end in python, and it would all be so much easier.
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mpadge
commented on August 16, 2024
Done.
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Related Issues (20)
- Include options to extract data from local file with osmium
- m4ra_times_mm_car function HOT 3
- Separate prepare_data function and use output of that as input to all main functions HOT 1
- Return data on number of transfers HOT 2
- Parallelise add_net_to_gtfs
- Change storage mode of Rcpp matrices to <int>
- Estimate frequency of fastest connections HOT 3
- Estimate quality of bicycle infrastructure HOT 1
- Restrict main MM routines to distance threshold HOT 1
- Add elevation to networks generated in "prepare_data" phase HOT 1
- Loop over subsets of stops in m4ra_gtfs_traveltimes
- Reduce sizes of initial times,transfers,interval matrices
- Use arrow to read/write main GTFS matrices
- running m4ra_gtfs_traveltimes on windows is impossible due to mc.cores>1 HOT 1
- Move atfutures -> UrbanAnalyst
- Fix fst write routines HOT 6
- bike car ratios
- multi-modal algorithm HOT 6
- Automobile times HOT 3
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