Do I need prior GeoAI experience?

No. Basic GIS familiarity helps, but the workshop covers GeoAI integration at a practical level without requiring deep machine learning expertise.

Can I use my own city or building data?

Yes. Bring ALKIS/CityGML files if you want to work with your own data, or use the sample datasets provided during the lab.

Who are the speakers?

Speakers: Hamidreza Ostadabbas — Head of the Geoinformatics Department, die steg Stadtentwicklung GmbH; Mohammad Hosseingholizade — Full-stack GIS developer, die steg Stadtentwicklung GmbH.

Will the session be recorded?

Yes — a recording will be shared with registered attendees after the event.

What technical requirements are needed?

Participants should install PostgreSQL 16+, QGIS 3.34+, and create a Cesium ion account ahead of the workshop. Optional: QFieldCloud for remote edits.

Real-time 3D Urban CO₂ & District Heating Visualization with GeoAI, QGIS & CesiumJS

Bring your laptop and curiosity ( real-time 3d co2 visualization workshop ). In this hands-on workshop you’ll build a real-time 3D web app that visualizes building-level CO₂ emissions and district heating demand using open geospatial data and GeoAI. Edit data in QGIS (or remotely via QFieldCloud) and watch updates appear instantly in a CesiumJS viewer.

Why this matters (Geo + climate planning)

City planners and utilities need clear, local visualizations to test district heating scenarios and prioritize retrofit efforts. This workshop shows a reproducible, open-source pipeline you can adapt to your city.

Who should attend

Municipal planners and sustainability officers
District heating engineers
GIS professionals and QGIS users
Data scientists interested in GeoAI

What you’ll learn — Practical outcomes

Import ALKIS cadastral data and CityGML into QGIS
Store and manage data in PostgreSQL/PostGIS
Connect a GeoAI model (REST) to predict CO₂ and heating demand
Sync QGIS edits to a live CesiumJS 3D viewer
Style buildings dynamically by emissions and district heating status

Agenda (suggested)

Intro & demo — 15 min
Data & DB setup — 40 min
GeoAI model overview & REST setup — 30 min
QGIS ↔ GeoAI synchronization — 30 min
CesiumJS 3D demo & styling — 30 min
Hands-on lab — 60 min
Wrap-up & resources — 15 min

Location & Geo details

Venue: [Venue name]
Address: [Street, City, Region, Postal code]
Coordinates: [lat, lon]

Requirements (do this before the workshop)

Install PostgreSQL 16+
Install QGIS 3.34+
Create a Cesium ion account: FROM

FAQ

Do I need ML experience?: No. We’ll explain GeoAI integration at a practical, applied level.
Can I use my own city/building data?: Yes. Bring your files or use the sample dataset we provide.

Resources & follow-up

Sample datasets (download link)
Setup checklist and scripts (GitHub link)
Post-workshop recording & materials (link — if applicable)

Contact

Questions? Email [email protected]