Colouring Cities: A Global Network and Open Platform for Collaborative Mapping of Building Stocks
Any academic research relating to UN Sustainable Development Goals (SDGs) involving geospatial analysis, will first require access to geospatial data.Where open, high-quality, standardised geospatial data are made available, analysis necessary for SDG-related problem-solving, in the environmental, economic and socio-cultural contexts, is likely to be faster and easier.Furthermore, when opportunities for multidisciplinary, cross-country collaborations and the application of artificial intelligence (AI) and machine learning (ML) to uncover insights into spatial data patterns also exist, an even more substantial acceleration of progress is possible.
Authors
- Polly Hudson (ORCID: https://orcid.org/0000-0001-7202-750X)
- Robert Hecht (ORCID: https://orcid.org/0000-0001-8420-7233)
- Merve Keskin (ORCID: https://orcid.org/0000-0002-4678-5611)
- Oriol Gavaldà (ORCID: https://orcid.org/0009-0003-2532-5127)
- Falli Palaiologou
Institutions
- Loughborough University (GB)
- Concordia University (US)
- University of Salzburg (AT)
- Royal Armouries (GB)
- Leibniz Institute of Ecological Urban and Regional Development (DE)
Publication Details
- Journal
- Abstracts of the ICA
- Published
- 2025-12-12
- DOI
- https://doi.org/10.5194/ica-abs-10-115-2025
- Primary Topic
- Urban Design and Spatial Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00