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🌍 Exciting сonversations ahead at HNPW 2025 in Geneva! 🌍 Visit our Kontur booth at the CICG to discuss innovative solutions for the humanitarian sector.
⚠️Reminder: tomorrow is Noel Gorelick's session on 'Risk Analysis for Hazards.
Let's connect in person! ☕✨ #HNPW2025 #Kontur

🌟 Thank you to everyone who visited our booth at the Franchise Business Exhibition in Warsaw! 🌟

We had a great time meeting interesting people and discussing your business ideas. 🤝✨ We hope to continue our collaboration!

If you didn't have the chance to meet us at the exhibition, feel free to reach out at hello@kontur.io. 📧 We’d be happy to discuss your questions! 💬

📸 #Kontur Team in #Batumi! 🇬🇪

Our amazing Kontur team recently gathered in the beautiful city of Batumi to strategize for the upcoming year, share experiences, and connect with one another. 🌊✨

Even as a fully remote team spread across various time zones, moments like these remind us that we are real people dedicated to collaboration and growth. We believe in the power of collaboration—not just among ourselves, but also with our partners and clients! 💬

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NOTE
1. The flood hazard data has invalid geometries/features. You can resolve this by fixing the geometries (takes a long time) or simply disabling the Invalid features filtering in QGIS processing settings.
2. Some areas have no flood hazard features. These are marked as NO DATA in the maps.

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...
3. Generate centroids from the output of #2 (either using the Centroids algorithm or Geometry generators).
4. To speed up and automate the process, I created a model that runs steps 1-3 above.
5. Style the output of 3 using: marker = hexagon, size = depends on population, color = depends on hazard level (Var). Utilize data-defined overrides/Assistant.

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PROCESS
1. Use the "Sort" algorithm to create an ordered version of the flood hazard layer such that the features with high hazard level (3) will always be the first feature that will be matched in #2 below.
2. Run a "Join attributes by Location" between the population hex grid layer and the sorted/ordered flood hazard layer (output of #1).
...

Continued thread

30 DAY MAP CHALLENGE 2024 | DAY 4 - HEXAGONS

Population ⬡ Flood Hazard
- larger hexagon = more people in the area
- redder color = higher hazard level

DATA
> Population density for 400m H3 Hexagons [Kontur] - data.humdata.org/dataset/kontu
> Flood hazard (100-year rain return) [UPRI/Project NOAH] - drive.google.com/drive/folders

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I forgot to mention that the TMS layer URI for the #OpenAerialMap (OAM) mosaic provided by #Kontur is

apps.kontur.io/raster-tiler/oa

You can add that TMS to your favorite #OpenStreetMap (OSM) editor.

🎗️ All OAM imagery is allowed to be used with OSM -- but use with caution! There may be alignment issues, and Kontur will always put the latest available imagery on top.

If you're after a specific imagery, best to so directly from OAM.

Did you know that #Kontur now serves a mosaic layer of the latest #OpenAerialMap imagery ?

Below are the latest captures made by the awesome #DatumPH team, collaborating with the local #OpenStreetMap community for identifying AOIs.

Have fun with mapping details on OSM!

disaster.ninja/active/?map=18.