Post AtBJTZuBGNfh8CDfaC by waeiski@vis.social
 (DIR) More posts by waeiski@vis.social
 (DIR) Post #AtBJTJLuo0ktnI44x6 by waeiski@vis.social
       2025-04-17T09:55:34Z
       
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       ✨ NEW TOOL FOR #MOBILITY DATA #DATAVIZ ✈️🚚🚗🏃 Do your visualisations of origin-destination matrices look like a mess of criss-crossing hairs? Maybe you could benefit from our #EdgeBundling tool by me, Oula Inkeröinen, @miladmzdh and Olle Järv! 🛠️  The tool: https://doi.org/10.5281/zenodo.14532547  This tool is an output from the #MobiTwin project funded by the #EuropeanUnion through the #HorizonEU programme.
       
 (DIR) Post #AtBJTKk3djf46SMsDo by waeiski@vis.social
       2025-04-17T09:56:59Z
       
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       ❓ What is edge-bundling? Edge bundling is a technique where flows going from nearby points in a similar direction get bundled together to reduce visual clutter, and it can help with legibility of complex flow data.
       
 (DIR) Post #AtBJTLzgz5lHzEgsEK by raccoon@hollow.raccoon.quest
       2025-04-17T12:08:15.750Z
       
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       @waeiski@vis.social Looks like a tool to draw a picture of a flying bird.
       
 (DIR) Post #AtBJTSXEfI9sH0QkLY by waeiski@vis.social
       2025-04-17T09:57:27Z
       
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       🙋 Why should I use it? a) To improve legibility of large and complex flow data between origins and destinations. A map that is not clear is worthless. b) To make cooler visualisations. c) Because it is fun! d) All of the above!
       
 (DIR) Post #AtBJTZuBGNfh8CDfaC by waeiski@vis.social
       2025-04-17T09:58:04Z
       
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       💾 ✅ What do you need to use the tool? a) A CSV file with origins, destinations and count of flows between them b) Point layer, where each point represents unique origins and destinations in the CSV file c) Our tool from https://doi.org/10.5281/zenodo.14532547 d) Python installed.
       
 (DIR) Post #AtBJThGPu6cLxBg1iK by waeiski@vis.social
       2025-04-17T09:58:33Z
       
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       📜 🧙‍♂️  How do I use the tool? 1. Run the tool as instructed in the README.md file from the repository. 2. Wait for the edges to be bundled. 3. Visualise your data!
       
 (DIR) Post #AtBJTohcFNX91ZSLa4 by waeiski@vis.social
       2025-04-17T09:58:49Z
       
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       If you don’t have data ready, you can try the data out on our newly published Erasmus+ mobility data available from Scientific Data! 📜 The article: https://doi.org/10.1038/s41597-025-04789-0  💾 The data: https://doi.org/10.5281/zenodo.14332353