Universal Digital Twin: Land use

Author:

Akroyd JethroORCID,Harper Zachary,Soutar David,Farazi Feroz,Bhave Amit,Mosbach SebastianORCID,Kraft MarkusORCID

Abstract

AbstractThis article 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 customized 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.

Funder

H2020 Industrial Leadership

Alexander von Humboldt-Stiftung

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Computer Science Applications,General Engineering,Statistics and Probability

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