Digital Twins For Topology Density Map Analysis
| dc.contributor.author | Hu, Zhicheng | |
| dc.contributor.author | Hasan, Agus Ismail | |
| dc.contributor.author | Da Silva Torres, Ricardo | |
| dc.date.accessioned | 2024-07-12T07:57:12Z | |
| dc.date.available | 2024-07-12T07:57:12Z | |
| dc.date.created | 2024-01-02T19:29:44Z | |
| dc.date.issued | 2023 | |
| dc.identifier.isbn | 978-393743680-7 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3140477 | |
| dc.description.abstract | Properly analyzing spatiotemporal patterns is of paramount importance, especially in urban planning. In this paper, we introduce two digital twins to support the analysis of spatiotemporal data associated with urban topologies. In particular, both tools visually encode temporal changes in density maps constrained by a network. Moreover, we present the software architectures and discuss their use in urban planning usage scenarios. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | International Conference on Modelling and Simulation | en_US |
| dc.relation.ispartof | Proceedings of the 37th ECMS International Conference on Modelling and Simulation, ECMS 2023 Florence; Italy 20 June 2023 through 23 June 2023 | |
| dc.rights | Navngivelse 4.0 Internasjonal | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
| dc.title | Digital Twins For Topology Density Map Analysis | en_US |
| dc.title.alternative | Digital Twins For Topology Density Map Analysis | en_US |
| dc.type | Chapter | en_US |
| dc.description.version | acceptedVersion | en_US |
| dc.source.pagenumber | 162-169 | en_US |
| dc.identifier.doi | 10.7148/2023-0162 | |
| dc.identifier.cristin | 2219369 | |
| cristin.ispublished | true | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 |
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