Universal Digital Twin : Land Use
Cambridge University Press
MetadataShow full item record
Akroyd, J., Harper, Z., Soutar, D., Farazi, M., Bhave, A., Mosbach, S., & Kraft, M. (2022). Universal Digital Twin : Land Use. Data-Centric Engineering https://doi.org/10.1017/dce.2021.21
This paper develops an ontological description of land use and applies it to incorporate geospatial information describing land coverage into a knowledge-graph-based Universal Digital Twin. Sources of data relating to land use in the UK have been surveyed. The Crop Map of England (CROME) is produced annually by the UK Government and was identified as a valuable source of open data. Formal ontologies to represent land use and the geospatial data arising from such surveys have been developed. The ontologies have been deployed using a high-performance graph database. A customised vocabulary was developed to extend the geospatial capabilities of the graph database to support the CROME data. The integration of the CROME data into the Universal Digital Twin is demonstrated in two use cases that show the potential of the Universal Digital Twin to share data across sectors. The first use case combines data about land use with a geospatial analysis of scenarios for energy provision. The second illustrates how the Universal Digital Twin could use the land use data to support the cross-domain analysis of flood risk. Opportunities for the extension and enrichment of the ontologies, and further development of the Universal Digital Twin are discussed.
Is supplemented by: https://doi.org/10.17863/CAM.68278
This research was supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Part of the research was also funded by the European Commission, Horizon 2020 Programme, DOME 4.0 Project, GA 953163. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Markus Kraft gratefully acknowledges the support of the Alexander von Humboldt foundation.
External DOI: https://doi.org/10.1017/dce.2021.21
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331773
Attribution 4.0 International
Licence URL: http://creativecommons.org/licenses/by/4.0/