Mykola Kozyr

@MykolaKozyr

Tweets are my own. Part of a team building the revolutionizing Location BI SaaS

Україна
Vrijeme pridruživanja: prosinac 2015.
Rođen/a 1992.

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  1. Prikvačeni tweet
    4. ruj 2019.

    Ready to publish my presentations 🌎🌏🌍 Stop using heatmaps: Reconsidering default in GIS: It is awesome, videos are already published: Thanks for taking your time and giving the feedback!

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  2. proslijedio/la je Tweet
    2. velj

    Brilliant idea, interesting data patterns and amazing visualization of the latest global news flow by 👏 Looking forward to the future most discussed topics in different countries😉

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  3. 2. velj

    World talks about is the main topic discussed. The negative tone mostly goes to Check interactive visualization based on GDELT data built with :

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  4. proslijedio/la je Tweet
    1. velj

    Didn’t make it to Brussels this weekend? FOMO ? Can’t help with the great Hallway track but you can watch livestream here

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  5. 1. velj
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  6. 31. sij
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  7. proslijedio/la je Tweet
    31. sij

    Great report by the explaining why implementing strategies doesn’t have to be overwhelming We know that for sure, offering top-notch ag software to help farmers make smart decisions

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  8. proslijedio/la je Tweet
    30. sij

    Technological know-how is the future of farming! The majority of precision ag students want to use their education in the industry. "That could mean a lot of tech knowledge going back to farms", reports – and we can't agree more.

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  9. 30. sij

    Wow, You should consider changing the design of this one :)

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  10. 29. sij

    Looks like great opportunities ahead!

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  11. 28. sij
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  12. proslijedio/la je Tweet
    28. sij

    Xarray is an open source library providing high-level, easy-to-use data structures and analysis tools for working with multidimensional labeled datasets and arrays in . Sponsored Project since 2018

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  13. proslijedio/la je Tweet
    26. sij

    Continuing to move the game forward . Much respect my brother 💪🏾 #33644

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  14. 26. sij

    Running default (n=1) nearest neighbor analysis based on geocoded data shows almost nothing - too many geometry duplicates. Using GPS locations for documenting accidents, crimes, or other events would significantly increase the analytical capabilities of the datasets

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  15. proslijedio/la je Tweet
    26. sij

    when you collect data for 10 years...

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  16. 26. sij

    There is another perspective: running analytics based on statistically significant samples shows a bit different. The approach for entering n next shops became more and more dispersed till 2012. More experiments soon :)

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  17. 25. sij

    Integration with is a bit awkward. I highly respect Leaflet, but rendering lots of vectors (ok, even thousands of features...) could be difficult. Probably focus on raster rendering

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  18. 25. sij

    Hey Have you already checked the new tool from Descartes Labs ? Looks interesting, especially considering the volumes of data operating

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  19. 25. sij

    Nice insights here: stores seem to have clustered distribution, but they weren't clustered all the time. The chart below: lower value for the point -> more clustered Interact with data in :

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  20. 24. sij

    like cases with AIS data like the US Shipping Demo: Built a couple of ones with analyzing vessels' speed patterns. Still intending to develop trajectory patterns analysis 😉

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  21. 24. sij
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