GeoTwin: 3D Modelling for City Digital Twins Based on Geospatial Information
GeoTwin: 3D Modelling for City Digital Twins Based on Geospatial Information
Description
Urban digital twins are increasingly used to support evidence-based decisions on planning, infrastructure, climate adaptation, mobility and public services. This course introduces learners to 3D modelling for city digital twins based on geospatial information. Learners will explore how geometry, topology and semantics are used to create meaningful 3D representations of buildings, urban objects and their relationships. The course combines active lectures with guided practical exercises and an individual digital twin assignment. Learners will experiment with selected open and/or professional tools for GIS, 3D modelling, spatial databases, 3D data analysis, dashboard generation, visualization and scenario-based interpretation. From static 3D modelling techniques you will learn how to go forward towards digital twin thinking: dynamic data, web architectures, interoperability, standards, stakeholder needs and responsible decision support.
The Team
Teachers
Meet the expert teaching staff, who is here to guide you through this learning opportunity.
Learners
- Study period
- 1 November 2026 – 1 February 2027
- Study format
- Hybrid
- Application period
- 26 June – 14 October 2026
- Credits
- 5 ECTS
- Hosting university
- University of Twente
- Topics
- Learner type
- Students
- EQF Level
Master Level
Information
Value and progress
3D Modelling Concepts
Upon completion, the learner will be able to distinguish geometric, topological and semantic aspects of 3D city/building modelling and explain their relevance for city digital twins.
ESCO SKILLS
3D Modelling Methods and Storage
Upon completion, the learner will be able to classify 3D modelling techniques and methods, and explain how 3D model results can be visualized, managed and stored in spatial databases or digital twin environments.
ESCO SKILLS
Data Interoperability
Upon completion, the learner will be able to compare data principles, identify interoperability challenges, and explain how standards, services and data models support digital twin workflows.
ESCO SKILLS
Workflow Selection for Urban Scenarios
Upon completion, the learner will be able to select and justify a suitable 3D modelling and digital twin workflow for a concrete urban scenario, considering data availability, stakeholder needs, modelling assumptions and technical feasibility.
ESCO SKILLS
Interpretation and Decision Support
Upon completion, the learner will be able to interpret 3D model or digital twin outputs, communicate limitations and uncertainties, and reflect on their value for urban planning or decision-support applications.
ESCO SKILLS
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Hosting university
University of Twente
