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859 results for “underdarkGIS”
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@underdarkGIS Gerne.
Wenn du in #Graz sein solltest: von denen ist immer jemand bei https://events.graz.social/@energiewende_graz
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@underdarkGIS Gerne.
Wenn du in #Graz sein solltest: von denen ist immer jemand bei https://events.graz.social/@energiewende_graz
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@underdarkGIS Gerne.
Wenn du in #Graz sein solltest: von denen ist immer jemand bei https://events.graz.social/@energiewende_graz
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@underdarkGIS Gerne.
Wenn du in #Graz sein solltest: von denen ist immer jemand bei https://events.graz.social/@energiewende_graz
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@underdarkGIS Gerne.
Wenn du in #Graz sein solltest: von denen ist immer jemand bei https://events.graz.social/@energiewende_graz
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Getting a s***-ton of CSV files as input for spatial analysis can be a pain.
Yes, you can write a quick Python loop in the #QGIS console to load them but it's not a great workflow, imho.
The DuckDB read_csv function has been very convenient for this kind of ETL workflow:
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Getting a s***-ton of CSV files as input for spatial analysis can be a pain.
Yes, you can write a quick Python loop in the #QGIS console to load them but it's not a great workflow, imho.
The DuckDB read_csv function has been very convenient for this kind of ETL workflow:
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Getting a s***-ton of CSV files as input for spatial analysis can be a pain.
Yes, you can write a quick Python loop in the #QGIS console to load them but it's not a great workflow, imho.
The DuckDB read_csv function has been very convenient for this kind of ETL workflow:
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Getting a s***-ton of CSV files as input for spatial analysis can be a pain.
Yes, you can write a quick Python loop in the #QGIS console to load them but it's not a great workflow, imho.
The DuckDB read_csv function has been very convenient for this kind of ETL workflow:
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Earlier this year, I tested the #QGIS #GTFS plugins with limited success: https://fosstodon.org/@underdarkGIS/111779309699966134
After relaunching #Trajectools, I've finally gotten around to integrating the first GTFS algorithms into it.
Currently testing with GTFS datasets from #Vorarlberg https://www.mobilitydata.gv.at/daten/soll-fahrplandaten-gtfs
Not sure why there is a gap in the network at Lorüns 🤔
#GISChat #MobilityData #PublicTransport #Transit #MovementDataAnalytics
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@underdarkGIS https://github.com/zackAemmer/transit_vis perhaps, @flauschzelle & @lenaschimmel worked on https://github.com/dystonse/dystonse and may know more, cross-posted on #mobilitydata slack also for reach
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@underdarkGIS if you prefer working directly in #Python, have a look at the #MovingPandas example notebook at https://movingpandas.github.io/movingpandas-website/1-tutorials/10-smoothing-trajectories.html
#GISChat #SDSL2024 #MovementDataAnalysis #MobilityDataAnalytics
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@underdarkGIS
I'm sure some people would say that's cutting it close.
But those people haven't just now finished working on their presentation while waiting for their flight to the #QGISUC2025 -
@underdarkGIS @stevenfeldman @mapguy @sourcepole @felt @leaflet @openlayers I have to check with #qgis2web if it works with APIs in order to always fetch the most current data once the @leaflet map is published
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@underdarkGIS @flauschzelle @lenaschimmel not a tool, but for anyone interested in punctuality data mining, this might be fun: #DavidKriesel gave an awesome talk at #36c3 https://m.youtube.com/watch?v=0rb9CfOvojk
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QGIS :qgis: to (Geo)Pandas :python: follow-up:
The conversation around Looking for better ways to convert between QGIS VectorLayer and (Geo)DataFrame is continuing over at https://fosstodon.org/@underdarkGIS/115442614331293320http://anitagraser.com/2025/10/31/qgis-to-geopandas-follow-up/
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New tutorial: Visualizing #IOT time series with #QGIS Temporal Controller, PyQGIS & #MobilityDb
https://anitagraser.com/2022/10/01/visualizing-iot-time-series-with-qgis-mobilitydb/
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@underdarkGIS The #FOSS4GE2024 has been stressing (ohmygod my talks are not ready) then relaxing (I'm done with my talks) then fun (karaoke!) then inspiring (crazy ideas at the codesprint)
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@underdarkGIS if you prefer working directly in #Python, have a look at the #MovingPandas example notebook at https://movingpandas.github.io/movingpandas-website/1-tutorials/10-smoothing-trajectories.html
#GISChat #SDSL2024 #MovementDataAnalysis #MobilityDataAnalytics
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@underdarkGIS if you prefer working directly in #Python, have a look at the #MovingPandas example notebook at https://movingpandas.github.io/movingpandas-website/1-tutorials/10-smoothing-trajectories.html
#GISChat #SDSL2024 #MovementDataAnalysis #MobilityDataAnalytics
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@underdarkGIS if you prefer working directly in #Python, have a look at the #MovingPandas example notebook at https://movingpandas.github.io/movingpandas-website/1-tutorials/10-smoothing-trajectories.html
#GISChat #SDSL2024 #MovementDataAnalysis #MobilityDataAnalytics
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@underdarkGIS if you prefer working directly in #Python, have a look at the #MovingPandas example notebook at https://movingpandas.github.io/movingpandas-website/1-tutorials/10-smoothing-trajectories.html
#GISChat #SDSL2024 #MovementDataAnalysis #MobilityDataAnalytics
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@underdarkGIS The #FOSS4GE2024 has been stressing (ohmygod my talks are not ready) then relaxing (I'm done with my talks) then fun (karaoke!) then inspiring (crazy ideas at the codesprint)
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@underdarkGIS The #FOSS4GE2024 has been stressing (ohmygod my talks are not ready) then relaxing (I'm done with my talks) then fun (karaoke!) then inspiring (crazy ideas at the codesprint)
😀 -
@underdarkGIS The #FOSS4GE2024 has been stressing (ohmygod my talks are not ready) then relaxing (I'm done with my talks) then fun (karaoke!) then inspiring (crazy ideas at the codesprint)
😀 -
@underdarkGIS The #FOSS4GE2024 has been stressing (ohmygod my talks are not ready) then relaxing (I'm done with my talks) then fun (karaoke!) then inspiring (crazy ideas at the codesprint)
😀 -
@underdarkGIS @flauschzelle @lenaschimmel not a tool, but for anyone interested in punctuality data mining, this might be fun: #DavidKriesel gave an awesome talk at #36c3 https://m.youtube.com/watch?v=0rb9CfOvojk
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@underdarkGIS @flauschzelle @lenaschimmel not a tool, but for anyone interested in punctuality data mining, this might be fun: #DavidKriesel gave an awesome talk at #36c3 https://m.youtube.com/watch?v=0rb9CfOvojk
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Great to having @underdarkGIS again in #salzburg. She‘s a true driving force in our field and a constant source of inspiration.
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For those working in #Python and #mobility or #network data, and who want to get #EdgeBundling to work, check out this repository: https://github.com/xpeterk1/edge-path-bundling/
I tried with our project data and it works nicely. It calculates really fast and uses little resources.
Potentially interesting to @underdarkGIS and @martinfleis