Mastodawn

It´s been a fun and insightful week at the #FOSSGIS2026 in Göttingen. See you again next year... in Heidelberg!

Thank you @FOSSGISeV, @osgeo and @unigoettingen for organizing such a huge and successful meetup of the DACH free and #opensource #GIS community.

Here are the session recordings, in case you missed any: https://media.ccc.de/b/conferences/geo/fossgis2026

We are now looking forward to being the local host of the FOSSGIS conference 2027 and welcoming the community at Heidelberg University.

#FOSSGIS

HeiGIT 2d ago

FOSSGIS Verein 2d ago

Das Geheimnis ist gelüftet! Die #FOSSGIS2027 wird in Heidelberg stattfinden - vom 9.-13.März!

#FOSSGIS2026

HeiGIT 6d ago

What role does the human-in-the-loop play in AI-assisted mapping?

In a recent experiment with YouthMappers in Ghana, we explored how editors interact with AI-generated roads in #OpenStreetMap. Do human edits refine the data or simply pass it through?

Understanding these actions helps improve trust, validation, and quality. It also guides how the community works with growing AI-generated data. What is your take on AI-mapping?

🔗 https://heigit.org/ai-assisted-mapping-insights-from-the-community/

#AIMapping #GeoAI #VGI #GIS

HeiGIT Mar 18

In the open #geospatial community, developers, researchers, and practitioners continually create new tools that turn #opendata into real-world solutions. Open technologies now make it possible to perform mobile routing in the field and to conduct real-time mobility analytics during emergencies.

These topics will be discussed at the #FOSSGIS Conference 2026, the yearly event for the German-speaking open geospatial community.

🔍 More info: https://buff.ly/ietSyCd
#OpenStreetMap

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HeiGIT Mar 16

@BUnicycling it seems that the issue is known and needs to be solved in OSM: https://wiki.openstreetmap.org/wiki/Northern_Ireland#Administration_Areas

Northern Ireland - OpenStreetMap Wiki

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HeiGIT Mar 16

@BUnicycling we are still investigating the issue about the missing county boundary data, which seems to be specific to Northern Ireland. It might be because the boundary has changed back and forth, so we don't have it in our boundaries table. While we are working to resolve the issue for future analysis, we're happy to hear that the manual drawing worked for you, even if it took so long. Thanks for the update!

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HeiGIT Mar 16

@BUnicycling in the ohsome dashboard, you can draw the outline of your area of interest also manually. For example: https://dashboard.ohsome.org/en/#backend=ohsomeApi&groupBy=none&time=2025-01-01T00%3A00%3A00Z%2F2026-02-19T11%3A00%3A00Z%2FP1W&measure=count&bpolys=-6.4232098%2C54.4710471%2C-6.4424255%2C54.3912086%2C-6.368308%2C54.2984009%2C-6.3875236%2C54.1796866%2C-6.2749748%2C54.0670748%2C-6.102034%2C54.0025877%2C-5.8604658%2C54.0509624%2C-5.629878%2C54.2005666%2C-5.4047804%2C54.351231%2C-5.363604%2C54.5220622%2C-5.4459567%2C54.6588499%2C-5.602427%2C54.7080445%2C-5.8604658%2C54.6715509%2C-5.9785048%2C54.5714223%2C-6.1130143%2C54.4806173%2C-6.4232098%2C54.4710471&filter=building%3D*+and+geometry%3Apolygon

HeiGIT Mar 9

How can open #geodata support better decisions in humanitarian response, infrastructure planning, and climate action?

In our latest blog post, we present five open datasets that support humanitarian aid, infrastructure planning, and climate research. Each dataset is free for everyone to explore. 🔍

🔗 https://buff.ly/XtrsABo
#OpenData #Geospatial #HumanitarianData #ClimateAction

HeiGIT Mar 5

How far is too far to reach a school or clinic?

We built OpenAccessLens, a global, open-source platform measuring physical access to education and healthcare worldwide. Powered by @openstreetmap and #openrouteservice, it maps travel-time to essential services so humanitarian orgs, planners, and researchers can act on the gaps.

Open-source. Community-driven. 🌍

👉 https://heigit.org/a-map-is-better-than-a-thousand-words-global-data-reveals-gaps-in-access-to-education-and-healthcare/

#openstreetmap #PublicHealth

HeiGIT Feb 26

The potential applications of street-level imagery and deep learning methods are countless: reliable logistics, inclusive mobility, accessibility analysis.
But there are many challenges, too: How to easily collect new imagery? How to process the imagery in a free, flexible and safe way?

We wrote about our best practices and related projects on our blog: https://buff.ly/0VCrNj3

Does anyone here have best practices or innovative uses of #streetlevel images to share? What should we map next?