Intro to GeoPandas

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  • เผยแพร่เมื่อ 16 ก.ค. 2024
  • This is an introductory video to working with GeoPandas, using data pulled from Washing DC's Open Data page. We'll combine neighborhood polygons with construction permit point data to get permits per neighborhood per year, and create plots and maps with our results.
    Notebook in Github:
    github.com/GeospatialProgramm...
    Links about projections:
    web.pdx.edu/~bjpd/courses/g424...
    • Map projections in GIS...
    DC's Open Data:
    opendata.dc.gov/
    Automate the Boring Stuff:
    automatetheboringstuff.com/

ความคิดเห็น • 13

  • @professionalcricketinsights
    @professionalcricketinsights 2 ปีที่แล้ว +5

    Your channel will grow if you keep on sharing your knowledge. Really Professional Explanation.

  • @chrisvalleau8778
    @chrisvalleau8778 2 ปีที่แล้ว +2

    Great video! I found it clear and useful. I can't wait to see what's next!

  • @ASOT666
    @ASOT666 2 ปีที่แล้ว +2

    I'm really interested in spatial analysis, so glad I stumbled across this channel! Great videos, I hope you have more to come, the quality of these is fantastic.

    • @geospatial_programming
      @geospatial_programming  2 ปีที่แล้ว

      Glad it's helpful so far, let me know if there's anything specific you want to see!

  • @kien-pham
    @kien-pham 2 ปีที่แล้ว +3

    thank you for the video :) it's a meaningful source of information for student like me. Can't wait to see your next videos

  • @spencermartel8222
    @spencermartel8222 2 ปีที่แล้ว +1

    This is fantastic thank you for sharing. I'm currently a GIS undergrad and this is incredibly useful content, I appreciate it!

  • @natebasch4877
    @natebasch4877 2 ปีที่แล้ว +1

    Thank you so much for the tutorial. Had a blast with it!

  • @alexsyzoniuk8335
    @alexsyzoniuk8335 2 ปีที่แล้ว +2

    Great content, thank you!

  • @LookNumber9
    @LookNumber9 2 ปีที่แล้ว +1

    Super useful. Thank you!

  • @MadhukarLokavarapu
    @MadhukarLokavarapu 10 หลายเดือนก่อน

    Does anyone have the link to the actual dataset? Thank you!!

    • @geospatial_programming
      @geospatial_programming  10 หลายเดือนก่อน +1

      The notebook in github has links right at the top to all the datasets: github.com/GeospatialProgramming/Geopandas/blob/main/Intro%20to%20Geopandas/DC%20Construction.ipynb

    • @MadhukarLokavarapu
      @MadhukarLokavarapu 10 หลายเดือนก่อน

      Thank you!!!
      @@geospatial_programming