Explore Architectural Data
Discover and analyze comprehensive architectural datasets with interactive visualizations and downloadable resources.
Project Workflow
This research project presents a comprehensive methodology for enriching architectural datasets with performance data. Our workflow integrates IFC building models with energy and daylight analysis to create enhanced datasets for machine learning and architectural research in multiple formats.
Comprehensive workflow for performance data enriched floorplan datasets
IFC Authoring
Using the Geometry Gym plugin, GH trees are mapped to the correct IFC hierarchy (Project → Site → Building → Storey → Elements), ensuring semantic validity and robust relationships for downstream queries.
Geolocation & Climate Context
Using the CityWeft API, models are placed in real-world contexts. 10 climate zones are defined and candidate locations pre-selected. A positioning script matches each building to an optimal site based on typology, window distribution, and height.
Performance Simulations
Solar radiation, daylight, and energy studies are conducted. Results are stored at the appropriate granularity (room, window, apartment).
Data Embedding & Structuring
Simulation outputs are written back into IFC as custom properties and exported in structured CSV/XML to support analytics and ML pipelines. Rich building graphs are also generated from these enriched IFCs.
Models preview
Interactive Visualizations
Explore architectural adjacency graphs showing spatial relationships within buildings. Pan, zoom, and interact with graph visualizations.
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37+ architectural adjacency graphs available
Auto-loading sample visualization on page load
Supported features:
- Pan and zoom with mouse/touch
- Search graphs by building number
- Filter by graph type
- Random graph exploration
Dataset Explorer
Interactive preview and filtering of architectural data. Choose your ranges.
Dataset Preview
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Download Dataset
Access comprehensive architectural dataset for research and analysis.
Full Dataset
Complete architectural dataset with all measurements and metadata.
CSV Dataset
Complete dataset in CSV format for data analysis and research.
Documentation
Data dictionary and usage guidelines.
Swiss Dwellings
Original Swiss residential building dataset used as foundation.
IFC
3D building information models in Industry Foundation Classes format.
Graphs
Interactive adjacency graphs and network visualizations.
Dataset Creation Process
Dataset enhancement workflow consists of multiple stages, each building upon established architectural processes and simulation methodologies.
Foundation Dataset: Swiss Dwellings
A large dataset of real apartment models saved in csv which can be recreated as geometry using Python.
- 3,000+ residential building units
- Detailed room-level spatial data
- Authentic Swiss architectural typologies
- Custom python node for CSV to geometry
3D Model
IFC models created with precision and enhanced properties for comprehensive building information modeling.
- IFC models with Geometry Gym
- Adding properties to IFC
- Precise geometry
Real World Context
Integration with real-world environmental data to provide comprehensive contextual information for each building.
- CityWeft API integration
- 10 climates/cities coverage
- Matching building characteristics with city
Performance Simulation
Each building geometry underwent comprehensive environmental performance analysis using industry-standard simulation tools.
- Energy demand calculations across climate zones
- Daylight factor analysis with high-resolution sensor grids
- Solar radiation and sun hour modeling
- Window performance optimization studies
Data Enhancement & Integration
Raw simulation outputs were processed, validated, and integrated with spatial data to create our enriched architectural dataset.
- Automated data validation and quality control
- Graph network generation for ML applications
- Multi-format export (CSV, IFC, JSON)
- Interactive visualization creation