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303 results for “movingpandas”

  1. I'm so happy that we're finally in a place where we can whip up a quick trajectory data exploration app with maps and graphs from rather arbitrary inputs, be it plain old csv with x/y in any crs known to proj, or fancy gis formats in just a few minutes.

    It's minimal extra effort and seems to impress most people so much more than comparable plots in a notebook 🤷‍♀️😀

    #MovingPandas #panel #hvplot #holoviz #holoviews #geoviews #geopandas #SpatialDataScience #mobilitydatascience #dataviz

  2. I'm so happy that we're finally in a place where we can whip up a quick trajectory data exploration app with maps and graphs from rather arbitrary inputs, be it plain old csv with x/y in any crs known to proj, or fancy gis formats in just a few minutes.

    It's minimal extra effort and seems to impress most people so much more than comparable plots in a notebook 🤷‍♀️😀

    #MovingPandas #panel #hvplot #holoviz #holoviews #geoviews #geopandas #SpatialDataScience #mobilitydatascience #dataviz

  3. I'm so happy that we're finally in a place where we can whip up a quick trajectory data exploration app with maps and graphs from rather arbitrary inputs, be it plain old csv with x/y in any crs known to proj, or fancy gis formats in just a few minutes.

    It's minimal extra effort and seems to impress most people so much more than comparable plots in a notebook 🤷‍♀️😀

    #MovingPandas #panel #hvplot #holoviz #holoviews #geoviews #geopandas #SpatialDataScience #mobilitydatascience #dataviz

  4. Enjoy the latest convenience features for exploration:
    ✅ Support for tons of different units for distance, time, speed, and acceleration movingpandas.org/units
    ✅ Interactive plots visualizing values along the trajectory as well as movement direction

    For example: visualizing Traces
    movingpandas.org/examples

  5. Cool to see more users from 🐮 😎

    Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of pressure in the Three-River-Source Region on the . J. Geogr. Sci. 33, 1660–1680 (2023). doi.org/10.1007/s11442-023-214

    "The ’s velocity transducer collected the moving speed information, and we used (...) a package for , to obtain the daily and

  6. Cool to see more users from #MovementEcology 🐮 😎

    Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). doi.org/10.1007/s11442-023-214

    "The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange

  7. Cool to see more users from #MovementEcology 🐮 😎

    Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). doi.org/10.1007/s11442-023-214

    "The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange

  8. Cool to see more users from #MovementEcology 🐮 😎

    Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). doi.org/10.1007/s11442-023-214

    "The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange

  9. Cool to see more users from #MovementEcology 🐮 😎

    Gu, C., Liu, L., Zhang, Y. et al. Understanding the spatial heterogeneity of #Grazing pressure in the Three-River-Source Region on the #TibetanPlateau. J. Geogr. Sci. 33, 1660–1680 (2023). doi.org/10.1007/s11442-023-214

    "The #GPScollar’s velocity transducer collected the moving speed information, and we used #MovingPandas (...) a #Python package for #MovementDataAnalysis, to obtain the daily #MovingDistance and #HomeRange

  10. 🎉 We're happy to announce the release of 0.17, featuring

    ✅️ Improved support
    ✅️ New OutlierCleaner
    ✅️ Improved interactive plots
    and more, see:
    github.com/movingpandas/moving

    Freshly forged packages 📦 are available now on conda-forge

  11. 🎉 We're happy to announce the release of #MovingPandas 0.17, featuring

    ✅️ Improved #MFJSON support
    ✅️ New OutlierCleaner
    ✅️ Improved #hvplot interactive plots
    and more, see:
    github.com/movingpandas/moving

    Freshly forged packages 📦 are available now on conda-forge

    #python #datascience #mobility #movementdataanalysis

  12. 🎉 We're happy to announce the release of #MovingPandas 0.17, featuring

    ✅️ Improved #MFJSON support
    ✅️ New OutlierCleaner
    ✅️ Improved #hvplot interactive plots
    and more, see:
    github.com/movingpandas/moving

    Freshly forged packages 📦 are available now on conda-forge

    #python #datascience #mobility #movementdataanalysis

  13. 🎉 We're happy to announce the release of #MovingPandas 0.17, featuring

    ✅️ Improved #MFJSON support
    ✅️ New OutlierCleaner
    ✅️ Improved #hvplot interactive plots
    and more, see:
    github.com/movingpandas/moving

    Freshly forged packages 📦 are available now on conda-forge

    #python #datascience #mobility #movementdataanalysis

  14. 🎉 We're happy to announce the release of #MovingPandas 0.17, featuring

    ✅️ Improved #MFJSON support
    ✅️ New OutlierCleaner
    ✅️ Improved #hvplot interactive plots
    and more, see:
    github.com/movingpandas/moving

    Freshly forged packages 📦 are available now on conda-forge

    #python #datascience #mobility #movementdataanalysis

  15. We're happy to announce that the new version 0.16 has just been released 🎉

    This is the first release to support 2.0

    In addition, new features include:
    🎈 New custom unit support for distance, speed, and acceleration functions
    🎈 Improved plots with arrow markers to indicate direction

    More details:
    github.com/movingpandas/moving

  16. We've just merged a long-awaited feature: different distance, speed, and acceleration units support

    github.com/movingpandas/moving

    This should make working with the results much more user-friendly than the basic SI units we have provided so far

  17. @movingpandas next step: check if all dependencies are available via . That would be a huge step towards a analysis plugin for