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May 24, 2023 at 23:07 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Apr 23, 2023 at 20:09 answer added Sextus Empiricus timeline score: 1
Apr 23, 2023 at 19:37 comment added Sextus Empiricus "The data I'm working with is very spotty in the temporal dimension" can you tell more about the data gathering process. Why is it spotty? If it correlates with the speed, e.g in tunnel where a vehicle has to drive more slowly there is no connection, then you have a problem with sample bias. Or can we assume that the sampling is random?
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Jul 14, 2022 at 20:25 comment added user225256 I answered a similar question at stats.stackexchange.com/questions/504734/…
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Jun 29, 2019 at 7:09 comment added Rafael Marazuela I think that this problem may have many solutions. Perhaps the best should be to use the Discrete Fourier transform.
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Apr 11, 2017 at 16:48 comment added Jim Heising Unfortunately that's the problem— I can't get the data for a set time interval. I'm working with data that comes from a GPS that has spotty connectivity. There will be moments where it has a great connection and plenty of regularly spaced points, but other times it might have a bad connection and not update itself for long periods of time.
Apr 10, 2017 at 22:27 history tweeted twitter.com/StackStats/status/851562320228745220
Apr 10, 2017 at 19:09 answer added llrs timeline score: 1
Apr 10, 2017 at 18:37 comment added Tavrock How dynamic do you expect your speed to be? Do you have better information on your acceleration? (Speed is a simple function of acceleration and time.) Could you pull a sample of your data based upon defined time intervals?
Apr 10, 2017 at 16:02 review First posts
Apr 10, 2017 at 16:06
Apr 10, 2017 at 16:01 history edited kjetil b halvorsen CC BY-SA 3.0
deleted 39 characters in body
Apr 10, 2017 at 15:57 history asked Jim Heising CC BY-SA 3.0