#TrajectoryData
Live, measured metrics for the hashtag #TrajectoryData from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #trajectorydata
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:06 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 07:06 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:06 UTCEverything below is measured over the latest 5 public posts (spanning ~5731 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 2
Top of the latest posts
New #bicycle 🚲 research #preprint using yours truly: Skåntorp et al. (2024). Data-driven bicycle driving cycles via mixed-integer programming "we utilized the #KalmanFilter from the #MovingPandas library" http://dx.doi.org/10.13140/RG.2.2.
Finally completed the first version of full circle #OGC #MovingFeatures support in @movingpandas : Read MF-JSON (MovingPoint or Trajectory encoding) as TrajectoryCollection and write it back out to MF-JSON MovingPoint encoding ... interopte
If you liked our last year's short paper on #DeepLearning from #TrajectoryData, you'll love our new #preprint even more: 📝 "MobilityDL: A Review of Deep Learning From Trajectory Data" https://arxiv.org/abs/2402.00732 #MobilityDataScience #
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/trajectorydata