Published 2025
| Version 0.0.0
Dataset
Open
A City-Scale Dataset of Annual Spatiotemporal Maps of Building Exposure and Physical Vulnerability in Quezon City, Philippines (2016–2030) via Graph Variational State-Space Model (GraphVSSM)
Authors/Creators
- 1. University of Cambridge
- 2. UKRI Centre for Doctoral Training (CDT) in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER)
- 3. Cambridge University Centre for Risk in the Built Environment (CURBE)
-
4.
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
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5.
University of Bonn
Description
A city-scale demonstration of Graph Variational State-Space Model (GraphVSSM) for various indicators of regional exposure and physical vulnerability in Quezon City in the Philippines as a case study.
File Descriptions:
- OE_BP.zip - Observation Exposure Module for Building Presence (Bernoulli Random Variable)
- OE_BH.zip- Observation Exposure Module for Building Height (Lognormal Random Variable)
- TE_BP.zip - Transition Exposure Module for Building Presence (Bernoulli Random Variable)
- TE_BH.zip - Transition Exposure Module for Building Height (Lognormal Random Variable)
- OV_V.zip - Observation Vulnerability Module for Building Presence (Multinomial Random Variable)
- TV_V.zip - Transition Vulnerability Module for Building Presence (Multinomial Random Variable)
Notes (English)
History of Versions:
- v0.0.0 (2025-08-01): Initial and anonymized upload for scientific double-blind peer review purposes
Files
samplePreview_TE_BH.gif
Files
(1.4 GB)
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Additional details
Funding
- UK Research and Innovation
- UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) EP/S022961/1